Icfes Saber 11 2021-1 Model Profile

Dataset statistics

Number of variables	78
Number of observations	15435
Missing cells	43461
Missing cells (%)	3.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	9.2 MiB
Average record size in memory	624.0 B

Variable types

Categorical	57
Numeric	21

Alerts

`periodo` has constant value "20201"	Constant
`estu_estudiante` has constant value "ESTUDIANTE"	Constant
`estu_fechanacimiento` has a high cardinality: 3636 distinct values	High cardinality
`estu_consecutivo` has a high cardinality: 15435 distinct values	High cardinality
`estu_mcpio_reside` has a high cardinality: 192 distinct values	High cardinality
`cole_nombre_establecimiento` has a high cardinality: 592 distinct values	High cardinality
`cole_nombre_sede` has a high cardinality: 599 distinct values	High cardinality
`cole_mcpio_ubicacion` has a high cardinality: 103 distinct values	High cardinality
`estu_mcpio_presentacion` has a high cardinality: 64 distinct values	High cardinality
`estu_cod_reside_depto` is highly correlated with `estu_cod_reside_mcpio` and 6 other fields	High correlation
`estu_cod_reside_mcpio` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`cole_cod_dane_establecimiento` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`cole_cod_dane_sede` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`cole_cod_mcpio_ubicacion` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`cole_cod_depto_ubicacion` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`estu_cod_mcpio_presentacion` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`estu_cod_depto_presentacion` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`punt_lectura_critica` is highly correlated with `percentil_lectura_critica` and 14 other fields	High correlation
`percentil_lectura_critica` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`desemp_lectura_critica` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_matematicas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_matematicas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`desemp_matematicas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_c_naturales` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_c_naturales` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`desemp_c_naturales` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_sociales_ciudadanas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_sociales_ciudadanas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`desemp_sociales_ciudadanas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_ingles` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_ingles` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_global` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_global` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`estu_cod_reside_depto` is highly correlated with `estu_cod_reside_mcpio` and 6 other fields	High correlation
`estu_cod_reside_mcpio` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`cole_cod_dane_establecimiento` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`cole_cod_dane_sede` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`cole_cod_mcpio_ubicacion` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`cole_cod_depto_ubicacion` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`estu_cod_mcpio_presentacion` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`estu_cod_depto_presentacion` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`punt_lectura_critica` is highly correlated with `percentil_lectura_critica` and 14 other fields	High correlation
`percentil_lectura_critica` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`desemp_lectura_critica` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_matematicas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_matematicas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`desemp_matematicas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_c_naturales` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_c_naturales` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`desemp_c_naturales` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_sociales_ciudadanas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_sociales_ciudadanas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`desemp_sociales_ciudadanas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_ingles` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_ingles` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_global` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_global` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`estu_cod_reside_depto` is highly correlated with `estu_cod_reside_mcpio` and 6 other fields	High correlation
`estu_cod_reside_mcpio` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`cole_cod_dane_establecimiento` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`cole_cod_dane_sede` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`cole_cod_mcpio_ubicacion` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`cole_cod_depto_ubicacion` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`estu_cod_mcpio_presentacion` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`estu_cod_depto_presentacion` is highly correlated with `estu_cod_reside_depto` and 6 other fields	High correlation
`punt_lectura_critica` is highly correlated with `percentil_lectura_critica` and 14 other fields	High correlation
`percentil_lectura_critica` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`desemp_lectura_critica` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_matematicas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_matematicas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`desemp_matematicas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_c_naturales` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_c_naturales` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`desemp_c_naturales` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_sociales_ciudadanas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_sociales_ciudadanas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`desemp_sociales_ciudadanas` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_ingles` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_ingles` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`punt_global` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`percentil_global` is highly correlated with `punt_lectura_critica` and 14 other fields	High correlation
`estu_horassemanatrabaja` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`cole_caracter` is highly correlated with `periodo` and 1 other fields	High correlation
`estu_dedicacioninternet` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`estu_tipodocumento` is highly correlated with `periodo` and 1 other fields	High correlation
`estu_pais_reside` is highly correlated with `periodo` and 2 other fields	High correlation
`fami_numlibros` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`desemp_lectura_critica` is highly correlated with `periodo` and 1 other fields	High correlation
`fami_tieneconsolavideojuegos` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`cole_depto_ubicacion` is highly correlated with `periodo` and 5 other fields	High correlation
`estu_genero` is highly correlated with `periodo` and 1 other fields	High correlation
`fami_tienemotocicleta` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`fami_trabajolabormadre` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`cole_sede_principal` is highly correlated with `estu_horassemanatrabaja` and 25 other fields	High correlation
`fami_estratovivienda` is highly correlated with `cole_sede_principal` and 4 other fields	High correlation
`fami_educacionpadre` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`cole_bilingue` is highly correlated with `periodo` and 4 other fields	High correlation
`periodo` is highly correlated with `estu_horassemanatrabaja` and 49 other fields	High correlation
`desemp_c_naturales` is highly correlated with `periodo` and 3 other fields	High correlation
`desemp_sociales_ciudadanas` is highly correlated with `periodo` and 2 other fields	High correlation
`estu_depto_reside` is highly correlated with `cole_depto_ubicacion` and 5 other fields	High correlation
`fami_tienecomputador` is highly correlated with `cole_sede_principal` and 4 other fields	High correlation
`fami_personashogar` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`fami_tienelavadora` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`cole_area_ubicacion` is highly correlated with `cole_depto_ubicacion` and 2 other fields	High correlation
`cole_jornada` is highly correlated with `periodo` and 2 other fields	High correlation
`estu_estadoinvestigacion` is highly correlated with `periodo` and 1 other fields	High correlation
`fami_comecarnepescadohuevo` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`cole_calendario` is highly correlated with `periodo` and 3 other fields	High correlation
`estu_mcpio_presentacion` is highly correlated with `cole_depto_ubicacion` and 8 other fields	High correlation
`estu_tiporemuneracion` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`estu_dedicacionlecturadiaria` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`fami_tieneinternet` is highly correlated with `cole_sede_principal` and 4 other fields	High correlation
`fami_tieneautomovil` is highly correlated with `cole_sede_principal` and 4 other fields	High correlation
`cole_naturaleza` is highly correlated with `periodo` and 2 other fields	High correlation
`estu_depto_presentacion` is highly correlated with `cole_depto_ubicacion` and 4 other fields	High correlation
`fami_trabajolaborpadre` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`fami_comecerealfrutoslegumbre` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`desemp_matematicas` is highly correlated with `periodo` and 2 other fields	High correlation
`estu_tieneetnia` is highly correlated with `periodo` and 2 other fields	High correlation
`desemp_ingles` is highly correlated with `cole_bilingue` and 2 other fields	High correlation
`estu_privado_libertad` is highly correlated with `estu_horassemanatrabaja` and 25 other fields	High correlation
`estu_estudiante` is highly correlated with `estu_horassemanatrabaja` and 49 other fields	High correlation
`fami_educacionmadre` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`fami_tienehornomicroogas` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`estu_nacionalidad` is highly correlated with `estu_pais_reside` and 2 other fields	High correlation
`fami_comelechederivados` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`fami_cuartoshogar` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`fami_situacioneconomica` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`cole_genero` is highly correlated with `periodo` and 1 other fields	High correlation
`estu_generacion_e` is highly correlated with `periodo` and 1 other fields	High correlation
`fami_tieneserviciotv` is highly correlated with `cole_sede_principal` and 3 other fields	High correlation
`estu_tipodocumento` is highly correlated with `estu_nacionalidad` and 1 other fields	High correlation
`estu_nacionalidad` is highly correlated with `estu_tipodocumento` and 1 other fields	High correlation
`estu_pais_reside` is highly correlated with `estu_tipodocumento` and 1 other fields	High correlation
`estu_tieneetnia` is highly correlated with `estu_mcpio_presentacion`	High correlation
`estu_depto_reside` is highly correlated with `estu_cod_reside_depto` and 14 other fields	High correlation
`estu_cod_reside_depto` is highly correlated with `estu_depto_reside` and 11 other fields	High correlation
`estu_cod_reside_mcpio` is highly correlated with `estu_depto_reside` and 11 other fields	High correlation
`fami_estratovivienda` is highly correlated with `fami_tieneautomovil` and 1 other fields	High correlation
`fami_personashogar` is highly correlated with `fami_cuartoshogar`	High correlation
`fami_cuartoshogar` is highly correlated with `fami_personashogar`	High correlation
`fami_educacionpadre` is highly correlated with `fami_educacionmadre` and 10 other fields	High correlation
`fami_educacionmadre` is highly correlated with `fami_educacionpadre` and 12 other fields	High correlation
`fami_trabajolaborpadre` is highly correlated with `fami_educacionpadre` and 1 other fields	High correlation
`fami_trabajolabormadre` is highly correlated with `fami_educacionmadre` and 1 other fields	High correlation
`fami_tieneinternet` is highly correlated with `fami_tieneserviciotv` and 3 other fields	High correlation
`fami_tieneserviciotv` is highly correlated with `fami_tieneinternet`	High correlation
`fami_tienecomputador` is highly correlated with `fami_educacionmadre` and 6 other fields	High correlation
`fami_tienelavadora` is highly correlated with `fami_tieneinternet` and 2 other fields	High correlation
`fami_tienehornomicroogas` is highly correlated with `fami_educacionmadre` and 6 other fields	High correlation
`fami_tieneautomovil` is highly correlated with `fami_estratovivienda` and 9 other fields	High correlation
`fami_tieneconsolavideojuegos` is highly correlated with `fami_tienehornomicroogas` and 1 other fields	High correlation
`fami_numlibros` is highly correlated with `fami_educacionpadre` and 7 other fields	High correlation
`fami_comelechederivados` is highly correlated with `fami_comecarnepescadohuevo` and 1 other fields	High correlation
`fami_comecarnepescadohuevo` is highly correlated with `fami_comelechederivados`	High correlation
`fami_comecerealfrutoslegumbre` is highly correlated with `fami_comelechederivados`	High correlation
`cole_codigo_icfes` is highly correlated with `cole_calendario` and 4 other fields	High correlation
`cole_cod_dane_establecimiento` is highly correlated with `estu_depto_reside` and 12 other fields	High correlation
`cole_naturaleza` is highly correlated with `cole_cod_dane_establecimiento` and 2 other fields	High correlation
`cole_calendario` is highly correlated with `estu_depto_reside` and 23 other fields	High correlation
`cole_bilingue` is highly correlated with `estu_depto_reside` and 7 other fields	High correlation
`cole_caracter` is highly correlated with `estu_mcpio_presentacion` and 1 other fields	High correlation
`cole_cod_dane_sede` is highly correlated with `estu_depto_reside` and 12 other fields	High correlation
`cole_sede_principal` is highly correlated with `cole_codigo_icfes` and 1 other fields	High correlation
`cole_area_ubicacion` is highly correlated with `cole_depto_ubicacion` and 1 other fields	High correlation
`cole_jornada` is highly correlated with `estu_depto_reside` and 13 other fields	High correlation
`cole_cod_mcpio_ubicacion` is highly correlated with `estu_depto_reside` and 11 other fields	High correlation
`cole_cod_depto_ubicacion` is highly correlated with `estu_depto_reside` and 11 other fields	High correlation
`cole_depto_ubicacion` is highly correlated with `estu_depto_reside` and 16 other fields	High correlation
`estu_privado_libertad` is highly correlated with `cole_sede_principal`	High correlation
`estu_cod_mcpio_presentacion` is highly correlated with `estu_depto_reside` and 11 other fields	High correlation
`estu_mcpio_presentacion` is highly correlated with `estu_tieneetnia` and 23 other fields	High correlation
`estu_depto_presentacion` is highly correlated with `estu_depto_reside` and 14 other fields	High correlation
`estu_cod_depto_presentacion` is highly correlated with `estu_depto_reside` and 11 other fields	High correlation
`punt_lectura_critica` is highly correlated with `cole_calendario` and 16 other fields	High correlation
`percentil_lectura_critica` is highly correlated with `punt_lectura_critica` and 15 other fields	High correlation
`desemp_lectura_critica` is highly correlated with `fami_educacionpadre` and 18 other fields	High correlation
`punt_matematicas` is highly correlated with `punt_lectura_critica` and 15 other fields	High correlation
`percentil_matematicas` is highly correlated with `cole_calendario` and 16 other fields	High correlation
`desemp_matematicas` is highly correlated with `fami_educacionpadre` and 18 other fields	High correlation
`punt_c_naturales` is highly correlated with `cole_calendario` and 16 other fields	High correlation
`percentil_c_naturales` is highly correlated with `cole_calendario` and 16 other fields	High correlation
`desemp_c_naturales` is highly correlated with `fami_educacionpadre` and 18 other fields	High correlation
`punt_sociales_ciudadanas` is highly correlated with `punt_lectura_critica` and 15 other fields	High correlation
`percentil_sociales_ciudadanas` is highly correlated with `punt_lectura_critica` and 15 other fields	High correlation
`desemp_sociales_ciudadanas` is highly correlated with `fami_educacionpadre` and 18 other fields	High correlation
`punt_ingles` is highly correlated with `estu_depto_reside` and 20 other fields	High correlation
`percentil_ingles` is highly correlated with `fami_tienecomputador` and 22 other fields	High correlation
`desemp_ingles` is highly correlated with `fami_educacionpadre` and 19 other fields	High correlation
`punt_global` is highly correlated with `fami_numlibros` and 17 other fields	High correlation
`percentil_global` is highly correlated with `fami_tieneautomovil` and 18 other fields	High correlation
`estu_tieneetnia` has 764 (4.9%) missing values	Missing
`estu_depto_reside` has 764 (4.9%) missing values	Missing
`estu_cod_reside_depto` has 764 (4.9%) missing values	Missing
`estu_mcpio_reside` has 764 (4.9%) missing values	Missing
`estu_cod_reside_mcpio` has 764 (4.9%) missing values	Missing
`fami_estratovivienda` has 1558 (10.1%) missing values	Missing
`fami_personashogar` has 1407 (9.1%) missing values	Missing
`fami_cuartoshogar` has 1439 (9.3%) missing values	Missing
`fami_educacionpadre` has 1549 (10.0%) missing values	Missing
`fami_educacionmadre` has 1544 (10.0%) missing values	Missing
`fami_trabajolaborpadre` has 1456 (9.4%) missing values	Missing
`fami_trabajolabormadre` has 1460 (9.5%) missing values	Missing
`fami_tieneinternet` has 1529 (9.9%) missing values	Missing
`fami_tieneserviciotv` has 1544 (10.0%) missing values	Missing
`fami_tienecomputador` has 1422 (9.2%) missing values	Missing
`fami_tienelavadora` has 1427 (9.2%) missing values	Missing
`fami_tienehornomicroogas` has 1437 (9.3%) missing values	Missing
`fami_tieneautomovil` has 1455 (9.4%) missing values	Missing
`fami_tienemotocicleta` has 1451 (9.4%) missing values	Missing
`fami_tieneconsolavideojuegos` has 1451 (9.4%) missing values	Missing
`fami_numlibros` has 1763 (11.4%) missing values	Missing
`fami_comelechederivados` has 1637 (10.6%) missing values	Missing
`fami_comecarnepescadohuevo` has 1535 (9.9%) missing values	Missing
`fami_comecerealfrutoslegumbre` has 1548 (10.0%) missing values	Missing
`fami_situacioneconomica` has 1450 (9.4%) missing values	Missing
`estu_dedicacionlecturadiaria` has 1532 (9.9%) missing values	Missing
`estu_dedicacioninternet` has 1553 (10.1%) missing values	Missing
`estu_horassemanatrabaja` has 1420 (9.2%) missing values	Missing
`estu_tiporemuneracion` has 1458 (9.4%) missing values	Missing
`cole_bilingue` has 2615 (16.9%) missing values	Missing
`cole_caracter` has 928 (6.0%) missing values	Missing
`estu_consecutivo` is uniformly distributed	Uniform
`percentil_lectura_critica` is uniformly distributed	Uniform
`percentil_matematicas` is uniformly distributed	Uniform
`percentil_c_naturales` is uniformly distributed	Uniform
`percentil_sociales_ciudadanas` is uniformly distributed	Uniform
`percentil_global` is uniformly distributed	Uniform
`estu_consecutivo` has unique values	Unique

Reproduction

Analysis started	2021-12-11 17:31:49.103779
Analysis finished	2021-12-11 17:33:09.004758
Duration	1 minute and 19.9 seconds
Software version	pandas-profiling v3.1.1
Download configuration	config.json

estu_tipodocumento
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

TI	12506
CC	2728
CE	81
CR	62
PEP	28
Other values (5)	30

Length

Max length	3
Median length	2
Mean length	2.002656301
Min length	2

Characters and Unicode

Total characters	30911
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	CC
2nd row	CC
3rd row	CC
4th row	CC
5th row	CC

Common Values

Value	Count	Frequency (%)
TI	12506	81.0%
CC	2728	17.7%
CE	81	0.5%
CR	62	0.4%
PEP	28	0.2%
RC	13	0.1%
NES	12	0.1%
PE	3	< 0.1%
NIP	1	< 0.1%
PC	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ti	12506	81.0%
cc	2728	17.7%
ce	81	0.5%
cr	62	0.4%
pep	28	0.2%
rc	13	0.1%
nes	12	0.1%
pe	3	< 0.1%
nip	1	< 0.1%
pc	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
I	12507	40.5%
T	12506	40.5%
C	5613	18.2%
E	124	0.4%
R	75	0.2%
P	61	0.2%
N	13	< 0.1%
S	12	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	30911	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	12507	40.5%
T	12506	40.5%
C	5613	18.2%
E	124	0.4%
R	75	0.2%
P	61	0.2%
N	13	< 0.1%
S	12	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	30911	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	12507	40.5%
T	12506	40.5%
C	5613	18.2%
E	124	0.4%
R	75	0.2%
P	61	0.2%
N	13	< 0.1%
S	12	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30911	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	12507	40.5%
T	12506	40.5%
C	5613	18.2%
E	124	0.4%
R	75	0.2%
P	61	0.2%
N	13	< 0.1%
S	12	< 0.1%

estu_nacionalidad
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	21
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

COLOMBIA	15321
VENEZUELA	48
ESTADOS UNIDOS	16
ESPAÑA	12
ECUADOR	8
Other values (16)	30

Length

Max length	22
Median length	8
Mean length	8.008228053
Min length	4

Characters and Unicode

Total characters	123607
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	0.1%

Sample

1st row	COLOMBIA
2nd row	COLOMBIA
3rd row	COLOMBIA
4th row	COLOMBIA
5th row	COLOMBIA

Common Values

Value	Count	Frequency (%)
COLOMBIA	15321	99.3%
VENEZUELA	48	0.3%
ESTADOS UNIDOS	16	0.1%
ESPAÑA	12	0.1%
ECUADOR	8	0.1%
ARGENTINA	6	< 0.1%
CHILE	3	< 0.1%
MÉXICO	3	< 0.1%
ALEMANIA	2	< 0.1%
BRASIL	2	< 0.1%
Other values (11)	14	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
colombia	15321	99.1%
venezuela	48	0.3%
estados	16	0.1%
unidos	16	0.1%
españa	12	0.1%
ecuador	8	0.1%
argentina	6	< 0.1%
chile	3	< 0.1%
méxico	3	< 0.1%
	2	< 0.1%
Other values (18)	25	0.2%

Most occurring characters

Value	Count	Frequency (%)
O	30695	24.8%
A	15465	12.5%
L	15385	12.4%
I	15361	12.4%
C	15339	12.4%
M	15327	12.4%
B	15326	12.4%
E	198	0.2%
N	85	0.1%
U	78	0.1%
Other values (17)	348	0.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	123580	> 99.9%
Space Separator	25	< 0.1%
Dash Punctuation	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	30695	24.8%
A	15465	12.5%
L	15385	12.4%
I	15361	12.4%
C	15339	12.4%
M	15327	12.4%
B	15326	12.4%
E	198	0.2%
N	85	0.1%
U	78	0.1%
Other values (15)	321	0.3%

Space Separator

Value	Count	Frequency (%)
	25	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	123580	> 99.9%
Common	27	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	30695	24.8%
A	15465	12.5%
L	15385	12.4%
I	15361	12.4%
C	15339	12.4%
M	15327	12.4%
B	15326	12.4%
E	198	0.2%
N	85	0.1%
U	78	0.1%
Other values (15)	321	0.3%

Common

Value	Count	Frequency (%)
	25	92.6%
-	2	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	123590	> 99.9%
None	17	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	30695	24.8%
A	15465	12.5%
L	15385	12.4%
I	15361	12.4%
C	15339	12.4%
M	15327	12.4%
B	15326	12.4%
E	198	0.2%
N	85	0.1%
U	78	0.1%
Other values (14)	331	0.3%

None

Value	Count	Frequency (%)
Ñ	12	70.6%
É	3	17.6%
Í	2	11.8%

estu_genero
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	120.7 KiB

M	7846
F	7588

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15434
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	F
2nd row	F
3rd row	F
4th row	F
5th row	F

Common Values

Value	Count	Frequency (%)
M	7846	50.8%
F	7588	49.2%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
m	7846	50.8%
f	7588	49.2%

Most occurring characters

Value	Count	Frequency (%)
M	7846	50.8%
F	7588	49.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	15434	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	7846	50.8%
F	7588	49.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15434	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	7846	50.8%
F	7588	49.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15434	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	7846	50.8%
F	7588	49.2%

estu_fechanacimiento
Categorical

HIGH CARDINALITY

Distinct	3636
Distinct (%)	23.6%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

2002-06-21T00:00:00.000	30
2002-02-18T00:00:00.000	26
2003-09-05T00:00:00.000	24
2002-06-07T00:00:00.000	23
2002-04-25T00:00:00.000	22
Other values (3631)	15310

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	355005
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1392 ?
Unique (%)	9.0%

Sample

1st row	1985-01-01T00:00:00.000
2nd row	1995-01-01T00:00:00.000
3rd row	1997-01-01T00:00:00.000
4th row	2001-01-01T00:00:00.000
5th row	2001-02-01T00:00:00.000

Common Values

Value	Count	Frequency (%)
2002-06-21T00:00:00.000	30	0.2%
2002-02-18T00:00:00.000	26	0.2%
2003-09-05T00:00:00.000	24	0.2%
2002-06-07T00:00:00.000	23	0.1%
2002-04-25T00:00:00.000	22	0.1%
2001-12-07T00:00:00.000	22	0.1%
2002-03-08T00:00:00.000	22	0.1%
2002-12-02T00:00:00.000	21	0.1%
2002-06-29T00:00:00.000	21	0.1%
2002-06-19T00:00:00.000	20	0.1%
Other values (3626)	15204	98.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2002-06-21t00:00:00.000	30	0.2%
2002-02-18t00:00:00.000	26	0.2%
2003-09-05t00:00:00.000	24	0.2%
2002-06-07t00:00:00.000	23	0.1%
2002-04-25t00:00:00.000	22	0.1%
2001-12-07t00:00:00.000	22	0.1%
2002-03-08t00:00:00.000	22	0.1%
2002-12-02t00:00:00.000	21	0.1%
2002-06-29t00:00:00.000	21	0.1%
2003-02-06t00:00:00.000	20	0.1%
Other values (3626)	15204	98.5%

Most occurring characters

Value	Count	Frequency (%)
0	191141	53.8%
-	30870	8.7%
:	30870	8.7%
2	25444	7.2%
1	16749	4.7%
T	15435	4.3%
.	15435	4.3%
3	8673	2.4%
9	4556	1.3%
4	3716	1.0%
Other values (4)	12116	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	262395	73.9%
Other Punctuation	46305	13.0%
Dash Punctuation	30870	8.7%
Uppercase Letter	15435	4.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	191141	72.8%
2	25444	9.7%
1	16749	6.4%
3	8673	3.3%
9	4556	1.7%
4	3716	1.4%
8	3197	1.2%
5	2991	1.1%
6	2981	1.1%
7	2947	1.1%

Other Punctuation

Value	Count	Frequency (%)
:	30870	66.7%
.	15435	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	30870	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	15435	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	339570	95.7%
Latin	15435	4.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	191141	56.3%
-	30870	9.1%
:	30870	9.1%
2	25444	7.5%
1	16749	4.9%
.	15435	4.5%
3	8673	2.6%
9	4556	1.3%
4	3716	1.1%
8	3197	0.9%
Other values (3)	8919	2.6%

Latin

Value	Count	Frequency (%)
T	15435	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	355005	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	191141	53.8%
-	30870	8.7%
:	30870	8.7%
2	25444	7.2%
1	16749	4.7%
T	15435	4.3%
.	15435	4.3%
3	8673	2.4%
9	4556	1.3%
4	3716	1.0%
Other values (4)	12116	3.4%

periodo
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

20201	15435

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	77175
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20201
2nd row	20201
3rd row	20201
4th row	20201
5th row	20201

Common Values

Value	Count	Frequency (%)
20201	15435	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
20201	15435	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	30870	40.0%
0	30870	40.0%
1	15435	20.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	77175	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	30870	40.0%
0	30870	40.0%
1	15435	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	77175	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	30870	40.0%
0	30870	40.0%
1	15435	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	30870	40.0%
0	30870	40.0%
1	15435	20.0%

estu_consecutivo
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	15435
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

SB11202010045555	1
SB11202010001733	1
SB11202010013615	1
SB11202010042146	1
SB11202010048248	1
Other values (15430)	15430

Length

Max length	16
Median length	16
Mean length	16
Min length	16

Characters and Unicode

Total characters	246960
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15435 ?
Unique (%)	100.0%

Sample

1st row	SB11202010045555
2nd row	SB11202010045719
3rd row	SB11202010070662
4th row	SB11202010069926
5th row	SB11202010023181

Common Values

Value	Count	Frequency (%)
SB11202010045555	1	< 0.1%
SB11202010001733	1	< 0.1%
SB11202010013615	1	< 0.1%
SB11202010042146	1	< 0.1%
SB11202010048248	1	< 0.1%
SB11202010021510	1	< 0.1%
SB11202010006922	1	< 0.1%
SB11202010007696	1	< 0.1%
SB11202010007756	1	< 0.1%
SB11202010008968	1	< 0.1%
Other values (15425)	15425	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sb11202010045555	1	< 0.1%
sb11202010071089	1	< 0.1%
sb11202010071200	1	< 0.1%
sb11202010071758	1	< 0.1%
sb11202010070662	1	< 0.1%
sb11202010069926	1	< 0.1%
sb11202010023181	1	< 0.1%
sb11202010057992	1	< 0.1%
sb11202010074718	1	< 0.1%
sb11202010070513	1	< 0.1%
Other values (15425)	15425	99.9%

Most occurring characters

Value	Count	Frequency (%)
0	71437	28.9%
1	55637	22.5%
2	40200	16.3%
S	15435	6.2%
B	15435	6.2%
7	8559	3.5%
3	7472	3.0%
4	7396	3.0%
6	6582	2.7%
5	6512	2.6%
Other values (2)	12295	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	216090	87.5%
Uppercase Letter	30870	12.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71437	33.1%
1	55637	25.7%
2	40200	18.6%
7	8559	4.0%
3	7472	3.5%
4	7396	3.4%
6	6582	3.0%
5	6512	3.0%
8	6175	2.9%
9	6120	2.8%

Uppercase Letter

Value	Count	Frequency (%)
S	15435	50.0%
B	15435	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	216090	87.5%
Latin	30870	12.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71437	33.1%
1	55637	25.7%
2	40200	18.6%
7	8559	4.0%
3	7472	3.5%
4	7396	3.4%
6	6582	3.0%
5	6512	3.0%
8	6175	2.9%
9	6120	2.8%

Latin

Value	Count	Frequency (%)
S	15435	50.0%
B	15435	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	246960	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71437	28.9%
1	55637	22.5%
2	40200	16.3%
S	15435	6.2%
B	15435	6.2%
7	8559	3.5%
3	7472	3.0%
4	7396	3.0%
6	6582	2.7%
5	6512	2.6%
Other values (2)	12295	5.0%

estu_estudiante
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

ESTUDIANTE	15435

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	154350
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ESTUDIANTE
2nd row	ESTUDIANTE
3rd row	ESTUDIANTE
4th row	ESTUDIANTE
5th row	ESTUDIANTE

Common Values

Value	Count	Frequency (%)
ESTUDIANTE	15435	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
estudiante	15435	100.0%

Most occurring characters

Value	Count	Frequency (%)
E	30870	20.0%
T	30870	20.0%
S	15435	10.0%
U	15435	10.0%
D	15435	10.0%
I	15435	10.0%
A	15435	10.0%
N	15435	10.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	154350	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	30870	20.0%
T	30870	20.0%
S	15435	10.0%
U	15435	10.0%
D	15435	10.0%
I	15435	10.0%
A	15435	10.0%
N	15435	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	154350	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	30870	20.0%
T	30870	20.0%
S	15435	10.0%
U	15435	10.0%
D	15435	10.0%
I	15435	10.0%
A	15435	10.0%
N	15435	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	154350	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	30870	20.0%
T	30870	20.0%
S	15435	10.0%
U	15435	10.0%
D	15435	10.0%
I	15435	10.0%
A	15435	10.0%
N	15435	10.0%

estu_pais_reside
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	21
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

COLOMBIA	15321
VENEZUELA	48
ESTADOS UNIDOS	16
ESPAÑA	12
ECUADOR	8
Other values (16)	30

Length

Max length	22
Median length	8
Mean length	8.008228053
Min length	4

Characters and Unicode

Total characters	123607
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	0.1%

Sample

1st row	COLOMBIA
2nd row	COLOMBIA
3rd row	COLOMBIA
4th row	COLOMBIA
5th row	COLOMBIA

Common Values

Value	Count	Frequency (%)
COLOMBIA	15321	99.3%
VENEZUELA	48	0.3%
ESTADOS UNIDOS	16	0.1%
ESPAÑA	12	0.1%
ECUADOR	8	0.1%
ARGENTINA	6	< 0.1%
CHILE	3	< 0.1%
MÉXICO	3	< 0.1%
ALEMANIA	2	< 0.1%
BRASIL	2	< 0.1%
Other values (11)	14	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
colombia	15321	99.1%
venezuela	48	0.3%
estados	16	0.1%
unidos	16	0.1%
españa	12	0.1%
ecuador	8	0.1%
argentina	6	< 0.1%
chile	3	< 0.1%
méxico	3	< 0.1%
	2	< 0.1%
Other values (18)	25	0.2%

Most occurring characters

Value	Count	Frequency (%)
O	30695	24.8%
A	15465	12.5%
L	15385	12.4%
I	15361	12.4%
C	15339	12.4%
M	15327	12.4%
B	15326	12.4%
E	198	0.2%
N	85	0.1%
U	78	0.1%
Other values (17)	348	0.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	123580	> 99.9%
Space Separator	25	< 0.1%
Dash Punctuation	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	30695	24.8%
A	15465	12.5%
L	15385	12.4%
I	15361	12.4%
C	15339	12.4%
M	15327	12.4%
B	15326	12.4%
E	198	0.2%
N	85	0.1%
U	78	0.1%
Other values (15)	321	0.3%

Space Separator

Value	Count	Frequency (%)
	25	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	123580	> 99.9%
Common	27	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	30695	24.8%
A	15465	12.5%
L	15385	12.4%
I	15361	12.4%
C	15339	12.4%
M	15327	12.4%
B	15326	12.4%
E	198	0.2%
N	85	0.1%
U	78	0.1%
Other values (15)	321	0.3%

Common

Value	Count	Frequency (%)
	25	92.6%
-	2	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	123590	> 99.9%
None	17	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	30695	24.8%
A	15465	12.5%
L	15385	12.4%
I	15361	12.4%
C	15339	12.4%
M	15327	12.4%
B	15326	12.4%
E	198	0.2%
N	85	0.1%
U	78	0.1%
Other values (14)	331	0.3%

None

Value	Count	Frequency (%)
Ñ	12	70.6%
É	3	17.6%
Í	2	11.8%

estu_tieneetnia
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	764
Missing (%)	4.9%
Memory size	120.7 KiB

No	14518
Si	153

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	29342
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	Si
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	14518	94.1%
Si	153	1.0%
(Missing)	764	4.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	14518	99.0%
si	153	1.0%

Most occurring characters

Value	Count	Frequency (%)
N	14518	49.5%
o	14518	49.5%
S	153	0.5%
i	153	0.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	14671	50.0%
Lowercase Letter	14671	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	14518	99.0%
S	153	1.0%

Lowercase Letter

Value	Count	Frequency (%)
o	14518	99.0%
i	153	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	29342	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	14518	49.5%
o	14518	49.5%
S	153	0.5%
i	153	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29342	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	14518	49.5%
o	14518	49.5%
S	153	0.5%
i	153	0.5%

estu_depto_reside
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	0.2%
Missing	764
Missing (%)	4.9%
Memory size	120.7 KiB

VALLE	6301
BOGOTÁ	3515
CUNDINAMARCA	770
CAUCA	722
ANTIOQUIA	720
Other values (22)	2643

Length

Max length	15
Median length	5
Mean length	6.257787472
Min length	4

Characters and Unicode

Total characters	91808
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	CESAR
2nd row	NARIÑO
3rd row	CAUCA
4th row	PUTUMAYO
5th row	RISARALDA

Common Values

Value	Count	Frequency (%)
VALLE	6301	40.8%
BOGOTÁ	3515	22.8%
CUNDINAMARCA	770	5.0%
CAUCA	722	4.7%
ANTIOQUIA	720	4.7%
ATLANTICO	563	3.6%
NARIÑO	472	3.1%
BOLIVAR	198	1.3%
RISARALDA	191	1.2%
SANTANDER	169	1.1%
Other values (17)	1050	6.8%
(Missing)	764	4.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
valle	6301	42.5%
bogotá	3515	23.7%
cundinamarca	770	5.2%
cauca	722	4.9%
antioquia	720	4.9%
atlantico	563	3.8%
nariño	472	3.2%
santander	269	1.8%
bolivar	198	1.3%
risaralda	191	1.3%
Other values (18)	1093	7.4%

Most occurring characters

Value	Count	Frequency (%)
A	15889	17.3%
L	13940	15.2%
O	9375	10.2%
E	7086	7.7%
V	6499	7.1%
T	5961	6.5%
N	4077	4.4%
C	4055	4.4%
I	3870	4.2%
B	3840	4.2%
Other values (14)	17216	18.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	91665	99.8%
Space Separator	143	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	15889	17.3%
L	13940	15.2%
O	9375	10.2%
E	7086	7.7%
V	6499	7.1%
T	5961	6.5%
N	4077	4.4%
C	4055	4.4%
I	3870	4.2%
B	3840	4.2%
Other values (13)	17073	18.6%

Space Separator

Value	Count	Frequency (%)
	143	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	91665	99.8%
Common	143	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	15889	17.3%
L	13940	15.2%
O	9375	10.2%
E	7086	7.7%
V	6499	7.1%
T	5961	6.5%
N	4077	4.4%
C	4055	4.4%
I	3870	4.2%
B	3840	4.2%
Other values (13)	17073	18.6%

Common

Value	Count	Frequency (%)
	143	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	87821	95.7%
None	3987	4.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	15889	18.1%
L	13940	15.9%
O	9375	10.7%
E	7086	8.1%
V	6499	7.4%
T	5961	6.8%
N	4077	4.6%
C	4055	4.6%
I	3870	4.4%
B	3840	4.4%
Other values (12)	13229	15.1%

None

Value	Count	Frequency (%)
Á	3515	88.2%
Ñ	472	11.8%

estu_cod_reside_depto
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	0.2%
Missing	764
Missing (%)	4.9%
Infinite	0
Infinite (%)	0.0%
Mean	44.35157794

Minimum	5
Maximum	94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	5
5-th percentile	8
Q1	11
median	52
Q3	76
95-th percentile	76
Maximum	94
Range	89
Interquartile range (IQR)	65

Descriptive statistics

Standard deviation	30.62048243
Coefficient of variation (CV)	0.6904034501
Kurtosis	-1.871432172
Mean	44.35157794
Median Absolute Deviation (MAD)	24
Skewness	-0.05384218303
Sum	650682
Variance	937.6139442
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
76	6301	40.8%
11	3515	22.8%
25	770	5.0%
19	722	4.7%
5	720	4.7%
8	563	3.6%
52	472	3.1%
13	198	1.3%
66	191	1.2%
68	169	1.1%
Other values (17)	1050	6.8%
(Missing)	764	4.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	720	4.7%
8	563	3.6%
11	3515	22.8%
13	198	1.3%
15	87	0.6%
17	158	1.0%
18	23	0.1%
19	722	4.7%
20	166	1.1%
23	40	0.3%

Value	Count	Frequency (%)
94	2	< 0.1%
86	44	0.3%
85	20	0.1%
81	12	0.1%
76	6301	40.8%
73	37	0.2%
68	169	1.1%
66	191	1.2%
63	42	0.3%
54	100	0.6%

estu_mcpio_reside
Categorical

HIGH CARDINALITY
MISSING

Distinct	192
Distinct (%)	1.3%
Missing	764
Missing (%)	4.9%
Memory size	120.7 KiB

CALI	4927
BOGOTÁ D.C.	3515
POPAYÁN	603
PALMIRA	547
BARRANQUILLA	525
Other values (187)	4554

Length

Max length	27
Median length	7
Mean length	7.677663418
Min length	4

Characters and Unicode

Total characters	112639
Distinct characters	34
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	64 ?
Unique (%)	0.4%

Sample

1st row	SAN DIEGO
2nd row	IPIALES
3rd row	TOTORÓ
4th row	MOCOA
5th row	PEREIRA

Common Values

Value	Count	Frequency (%)
CALI	4927	31.9%
BOGOTÁ D.C.	3515	22.8%
POPAYÁN	603	3.9%
PALMIRA	547	3.5%
BARRANQUILLA	525	3.4%
MEDELLÍN	411	2.7%
PASTO	408	2.6%
GUADALAJARA DE BUGA	261	1.7%
CHÍA	245	1.6%
CARTAGENA DE INDIAS	197	1.3%
Other values (182)	3032	19.6%
(Missing)	764	4.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cali	4927	25.1%
d.c	3515	17.9%
bogotá	3515	17.9%
popayán	603	3.1%
palmira	547	2.8%
barranquilla	525	2.7%
de	497	2.5%
medellín	411	2.1%
pasto	408	2.1%
guadalajara	261	1.3%
Other values (203)	4449	22.6%

Most occurring characters

Value	Count	Frequency (%)
A	16118	14.3%
C	10412	9.2%
O	9445	8.4%
L	9001	8.0%
I	8179	7.3%
.	7030	6.2%
D	5750	5.1%
T	5131	4.6%
	4987	4.4%
B	4759	4.2%
Other values (24)	31827	28.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	100619	89.3%
Other Punctuation	7030	6.2%
Space Separator	4987	4.4%
Dash Punctuation	3	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	16118	16.0%
C	10412	10.3%
O	9445	9.4%
L	9001	8.9%
I	8179	8.1%
D	5750	5.7%
T	5131	5.1%
B	4759	4.7%
G	4703	4.7%
Á	4341	4.3%
Other values (21)	22780	22.6%

Other Punctuation

Value	Count	Frequency (%)
.	7030	100.0%

Space Separator

Value	Count	Frequency (%)
	4987	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	100619	89.3%
Common	12020	10.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	16118	16.0%
C	10412	10.3%
O	9445	9.4%
L	9001	8.9%
I	8179	8.1%
D	5750	5.7%
T	5131	5.1%
B	4759	4.7%
G	4703	4.7%
Á	4341	4.3%
Other values (21)	22780	22.6%

Common

Value	Count	Frequency (%)
.	7030	58.5%
	4987	41.5%
-	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	107138	95.1%
None	5501	4.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	16118	15.0%
C	10412	9.7%
O	9445	8.8%
L	9001	8.4%
I	8179	7.6%
.	7030	6.6%
D	5750	5.4%
T	5131	4.8%
	4987	4.7%
B	4759	4.4%
Other values (17)	26326	24.6%

None

Value	Count	Frequency (%)
Á	4341	78.9%
Í	978	17.8%
Ú	80	1.5%
Ó	57	1.0%
É	28	0.5%
Ñ	16	0.3%
Ü	1	< 0.1%

estu_cod_reside_mcpio
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	192
Distinct (%)	1.3%
Missing	764
Missing (%)	4.9%
Infinite	0
Infinite (%)	0.0%
Mean	44437.50971

Minimum	5001
Maximum	94001
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	5001
5-th percentile	8001
Q1	11001
median	52001
Q3	76001
95-th percentile	76520
Maximum	94001
Range	89000
Interquartile range (IQR)	65000

Descriptive statistics

Standard deviation	30630.07403
Coefficient of variation (CV)	0.6892842157
Kurtosis	-1.870391044
Mean	44437.50971
Median Absolute Deviation (MAD)	24519
Skewness	-0.05512378118
Sum	651942705
Variance	938201435.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
76001	4927	31.9%
11001	3515	22.8%
19001	603	3.9%
76520	547	3.5%
8001	525	3.4%
5001	411	2.7%
52001	408	2.6%
76111	261	1.7%
25175	245	1.6%
13001	197	1.3%
Other values (182)	3032	19.6%
(Missing)	764	4.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5001	411	2.7%
5045	13	0.1%
5088	2	< 0.1%
5125	1	< 0.1%
5147	1	< 0.1%
5148	1	< 0.1%
5154	1	< 0.1%
5197	1	< 0.1%
5266	128	0.8%
5318	1	< 0.1%

Value	Count	Frequency (%)
94001	2	< 0.1%
86320	1	< 0.1%
86001	43	0.3%
85139	2	< 0.1%
85010	1	< 0.1%
85001	17	0.1%
81001	12	0.1%
76895	4	< 0.1%
76892	92	0.6%
76869	6	< 0.1%

fami_estratovivienda
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	0.1%
Missing	1558
Missing (%)	10.1%
Memory size	120.7 KiB

Estrato 3	3312
Estrato 4	2795
Estrato 5	2377
Estrato 2	2318
Estrato 6	2134
Other values (2)	941

Length

Max length	11
Median length	9
Mean length	9.021186135
Min length	9

Characters and Unicode

Total characters	125187
Distinct characters	16
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Estrato 1
2nd row	Estrato 1
3rd row	Estrato 1
4th row	Estrato 6
5th row	Estrato 1

Common Values

Value	Count	Frequency (%)
Estrato 3	3312	21.5%
Estrato 4	2795	18.1%
Estrato 5	2377	15.4%
Estrato 2	2318	15.0%
Estrato 6	2134	13.8%
Estrato 1	794	5.1%
Sin Estrato	147	1.0%
(Missing)	1558	10.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
estrato	13877	50.0%
3	3312	11.9%
4	2795	10.1%
5	2377	8.6%
2	2318	8.4%
6	2134	7.7%
1	794	2.9%
sin	147	0.5%

Most occurring characters

Value	Count	Frequency (%)
t	27754	22.2%
E	13877	11.1%
s	13877	11.1%
r	13877	11.1%
a	13877	11.1%
o	13877	11.1%
	13877	11.1%
3	3312	2.6%
4	2795	2.2%
5	2377	1.9%
Other values (6)	5687	4.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	83556	66.7%
Uppercase Letter	14024	11.2%
Space Separator	13877	11.1%
Decimal Number	13730	11.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	27754	33.2%
s	13877	16.6%
r	13877	16.6%
a	13877	16.6%
o	13877	16.6%
i	147	0.2%
n	147	0.2%

Decimal Number

Value	Count	Frequency (%)
3	3312	24.1%
4	2795	20.4%
5	2377	17.3%
2	2318	16.9%
6	2134	15.5%
1	794	5.8%

Uppercase Letter

Value	Count	Frequency (%)
E	13877	99.0%
S	147	1.0%

Space Separator

Value	Count	Frequency (%)
	13877	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	97580	77.9%
Common	27607	22.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	27754	28.4%
E	13877	14.2%
s	13877	14.2%
r	13877	14.2%
a	13877	14.2%
o	13877	14.2%
S	147	0.2%
i	147	0.2%
n	147	0.2%

Common

Value	Count	Frequency (%)
	13877	50.3%
3	3312	12.0%
4	2795	10.1%
5	2377	8.6%
2	2318	8.4%
6	2134	7.7%
1	794	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	125187	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	27754	22.2%
E	13877	11.1%
s	13877	11.1%
r	13877	11.1%
a	13877	11.1%
o	13877	11.1%
	13877	11.1%
3	3312	2.6%
4	2795	2.2%
5	2377	1.9%
Other values (6)	5687	4.5%

fami_personashogar
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	1407
Missing (%)	9.1%
Memory size	120.7 KiB

3 a 4	8763
5 a 6	3164
1 a 2	1478
7 a 8	473
9 o más	150

Length

Max length	7
Median length	5
Mean length	5.0213858
Min length	5

Characters and Unicode

Total characters	70440
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5 a 6
2nd row	3 a 4
3rd row	1 a 2
4th row	3 a 4
5th row	7 a 8

Common Values

Value	Count	Frequency (%)
3 a 4	8763	56.8%
5 a 6	3164	20.5%
1 a 2	1478	9.6%
7 a 8	473	3.1%
9 o más	150	1.0%
(Missing)	1407	9.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
a	13878	33.0%
3	8763	20.8%
4	8763	20.8%
5	3164	7.5%
6	3164	7.5%
1	1478	3.5%
2	1478	3.5%
7	473	1.1%
8	473	1.1%
9	150	0.4%
Other values (2)	300	0.7%

Most occurring characters

Value	Count	Frequency (%)
	28056	39.8%
a	13878	19.7%
3	8763	12.4%
4	8763	12.4%
5	3164	4.5%
6	3164	4.5%
1	1478	2.1%
2	1478	2.1%
7	473	0.7%
8	473	0.7%
Other values (5)	750	1.1%

Most occurring categories

Value	Count	Frequency (%)
Space Separator	28056	39.8%
Decimal Number	27906	39.6%
Lowercase Letter	14478	20.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	8763	31.4%
4	8763	31.4%
5	3164	11.3%
6	3164	11.3%
1	1478	5.3%
2	1478	5.3%
7	473	1.7%
8	473	1.7%
9	150	0.5%

Lowercase Letter

Value	Count	Frequency (%)
a	13878	95.9%
o	150	1.0%
m	150	1.0%
á	150	1.0%
s	150	1.0%

Space Separator

Value	Count	Frequency (%)
	28056	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	55962	79.4%
Latin	14478	20.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
	28056	50.1%
3	8763	15.7%
4	8763	15.7%
5	3164	5.7%
6	3164	5.7%
1	1478	2.6%
2	1478	2.6%
7	473	0.8%
8	473	0.8%
9	150	0.3%

Latin

Value	Count	Frequency (%)
a	13878	95.9%
o	150	1.0%
m	150	1.0%
á	150	1.0%
s	150	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	70290	99.8%
None	150	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	28056	39.9%
a	13878	19.7%
3	8763	12.5%
4	8763	12.5%
5	3164	4.5%
6	3164	4.5%
1	1478	2.1%
2	1478	2.1%
7	473	0.7%
8	473	0.7%
Other values (4)	600	0.9%

None

Value	Count	Frequency (%)
á	150	100.0%

fami_cuartoshogar
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	< 0.1%
Missing	1439
Missing (%)	9.3%
Memory size	120.7 KiB

Tres	6433
Dos	3430
Cuatro	2626
Cinco	737
Uno	441

Length

Max length	10
Median length	4
Mean length	4.292369248
Min length	3

Characters and Unicode

Total characters	60076
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Uno
2nd row	Cuatro
3rd row	Uno
4th row	Cuatro
5th row	Cuatro

Common Values

Value	Count	Frequency (%)
Tres	6433	41.7%
Dos	3430	22.2%
Cuatro	2626	17.0%
Cinco	737	4.8%
Uno	441	2.9%
Seis o mas	329	2.1%
(Missing)	1439	9.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
tres	6433	43.9%
dos	3430	23.4%
cuatro	2626	17.9%
cinco	737	5.0%
uno	441	3.0%
seis	329	2.2%
o	329	2.2%
mas	329	2.2%

Most occurring characters

Value	Count	Frequency (%)
s	10521	17.5%
r	9059	15.1%
o	7563	12.6%
e	6762	11.3%
T	6433	10.7%
D	3430	5.7%
C	3363	5.6%
a	2955	4.9%
u	2626	4.4%
t	2626	4.4%
Other values (7)	4738	7.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	45422	75.6%
Uppercase Letter	13996	23.3%
Space Separator	658	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	10521	23.2%
r	9059	19.9%
o	7563	16.7%
e	6762	14.9%
a	2955	6.5%
u	2626	5.8%
t	2626	5.8%
n	1178	2.6%
i	1066	2.3%
c	737	1.6%

Uppercase Letter

Value	Count	Frequency (%)
T	6433	46.0%
D	3430	24.5%
C	3363	24.0%
U	441	3.2%
S	329	2.4%

Space Separator

Value	Count	Frequency (%)
	658	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	59418	98.9%
Common	658	1.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	10521	17.7%
r	9059	15.2%
o	7563	12.7%
e	6762	11.4%
T	6433	10.8%
D	3430	5.8%
C	3363	5.7%
a	2955	5.0%
u	2626	4.4%
t	2626	4.4%
Other values (6)	4080	6.9%

Common

Value	Count	Frequency (%)
	658	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60076	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	10521	17.5%
r	9059	15.1%
o	7563	12.6%
e	6762	11.3%
T	6433	10.7%
D	3430	5.7%
C	3363	5.6%
a	2955	4.9%
u	2626	4.4%
t	2626	4.4%
Other values (7)	4738	7.9%

fami_educacionpadre
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	0.1%
Missing	1549
Missing (%)	10.0%
Memory size	120.7 KiB

Educación profesional completa	4008
Postgrado	2734
Secundaria (Bachillerato) completa	2323
Técnica o tecnológica completa	1011
No sabe	801
Other values (7)	3009

Length

Max length	36
Median length	30
Mean length	24.22641509
Min length	7

Characters and Unicode

Total characters	336408
Distinct characters	30
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Primaria incompleta
2nd row	Secundaria (Bachillerato) incompleta
3rd row	Técnica o tecnológica completa
4th row	Educación profesional completa
5th row	Primaria completa

Common Values

Value	Count	Frequency (%)
Educación profesional completa	4008	26.0%
Postgrado	2734	17.7%
Secundaria (Bachillerato) completa	2323	15.1%
Técnica o tecnológica completa	1011	6.6%
No sabe	801	5.2%
Secundaria (Bachillerato) incompleta	797	5.2%
Primaria incompleta	677	4.4%
Educación profesional incompleta	574	3.7%
Primaria completa	374	2.4%
Técnica o tecnológica incompleta	239	1.5%
Other values (2)	348	2.3%
(Missing)	1549	10.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
completa	7716	22.0%
educación	4582	13.1%
profesional	4582	13.1%
secundaria	3120	8.9%
bachillerato	3120	8.9%
postgrado	2734	7.8%
incompleta	2287	6.5%
técnica	1250	3.6%
o	1250	3.6%
tecnológica	1250	3.6%
Other values (5)	3140	9.0%

Most occurring characters

Value	Count	Frequency (%)
a	39923	11.9%
o	31404	9.3%
c	30546	9.1%
e	22876	6.8%
i	22641	6.7%
l	22214	6.6%
	21145	6.3%
n	17489	5.2%
t	17107	5.1%
r	15658	4.7%
Other values (20)	95405	28.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	291878	86.8%
Space Separator	21145	6.3%
Uppercase Letter	17145	5.1%
Open Punctuation	3120	0.9%
Close Punctuation	3120	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	39923	13.7%
o	31404	10.8%
c	30546	10.5%
e	22876	7.8%
i	22641	7.8%
l	22214	7.6%
n	17489	6.0%
t	17107	5.9%
r	15658	5.4%
p	14724	5.0%
Other values (10)	57296	19.6%

Uppercase Letter

Value	Count	Frequency (%)
E	4582	26.7%
P	3785	22.1%
S	3120	18.2%
B	3120	18.2%
T	1250	7.3%
N	1149	6.7%
A	139	0.8%

Space Separator

Value	Count	Frequency (%)
	21145	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3120	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3120	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	309023	91.9%
Common	27385	8.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	39923	12.9%
o	31404	10.2%
c	30546	9.9%
e	22876	7.4%
i	22641	7.3%
l	22214	7.2%
n	17489	5.7%
t	17107	5.5%
r	15658	5.1%
p	14724	4.8%
Other values (17)	74441	24.1%

Common

Value	Count	Frequency (%)
	21145	77.2%
(	3120	11.4%
)	3120	11.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	329326	97.9%
None	7082	2.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	39923	12.1%
o	31404	9.5%
c	30546	9.3%
e	22876	6.9%
i	22641	6.9%
l	22214	6.7%
	21145	6.4%
n	17489	5.3%
t	17107	5.2%
r	15658	4.8%
Other values (18)	88323	26.8%

None

Value	Count	Frequency (%)
ó	5832	82.3%
é	1250	17.7%

fami_educacionmadre
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	0.1%
Missing	1544
Missing (%)	10.0%
Memory size	120.7 KiB

Educación profesional completa	4880
Postgrado	2571
Secundaria (Bachillerato) completa	2077
Técnica o tecnológica completa	1326
Educación profesional incompleta	688
Other values (7)	2349

Length

Max length	36
Median length	30
Mean length	25.65661219
Min length	7

Characters and Unicode

Total characters	356396
Distinct characters	30
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Primaria incompleta
2nd row	Secundaria (Bachillerato) incompleta
3rd row	Educación profesional completa
4th row	Secundaria (Bachillerato) completa
5th row	Primaria incompleta

Common Values

Value	Count	Frequency (%)
Educación profesional completa	4880	31.6%
Postgrado	2571	16.7%
Secundaria (Bachillerato) completa	2077	13.5%
Técnica o tecnológica completa	1326	8.6%
Educación profesional incompleta	688	4.5%
Secundaria (Bachillerato) incompleta	681	4.4%
Primaria incompleta	522	3.4%
Técnica o tecnológica incompleta	341	2.2%
Primaria completa	341	2.2%
No sabe	327	2.1%
Other values (2)	137	0.9%
(Missing)	1544	10.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
completa	8624	23.5%
educación	5568	15.1%
profesional	5568	15.1%
secundaria	2758	7.5%
bachillerato	2758	7.5%
postgrado	2571	7.0%
incompleta	2232	6.1%
técnica	1667	4.5%
o	1667	4.5%
tecnológica	1667	4.5%
Other values (5)	1680	4.6%

Most occurring characters

Value	Count	Frequency (%)
a	41008	11.5%
c	34202	9.6%
o	33690	9.5%
i	24081	6.8%
e	23934	6.7%
l	23633	6.6%
	22869	6.4%
n	19682	5.5%
t	17852	5.0%
p	16450	4.6%
Other values (20)	98995	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	311336	87.4%
Space Separator	22869	6.4%
Uppercase Letter	16675	4.7%
Open Punctuation	2758	0.8%
Close Punctuation	2758	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	41008	13.2%
c	34202	11.0%
o	33690	10.8%
i	24081	7.7%
e	23934	7.7%
l	23633	7.6%
n	19682	6.3%
t	17852	5.7%
p	16450	5.3%
r	15381	4.9%
Other values (10)	61423	19.7%

Uppercase Letter

Value	Count	Frequency (%)
E	5568	33.4%
P	3434	20.6%
S	2758	16.5%
B	2758	16.5%
T	1667	10.0%
N	464	2.8%
A	26	0.2%

Space Separator

Value	Count	Frequency (%)
	22869	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2758	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2758	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	328011	92.0%
Common	28385	8.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	41008	12.5%
c	34202	10.4%
o	33690	10.3%
i	24081	7.3%
e	23934	7.3%
l	23633	7.2%
n	19682	6.0%
t	17852	5.4%
p	16450	5.0%
r	15381	4.7%
Other values (17)	78098	23.8%

Common

Value	Count	Frequency (%)
	22869	80.6%
(	2758	9.7%
)	2758	9.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	347494	97.5%
None	8902	2.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	41008	11.8%
c	34202	9.8%
o	33690	9.7%
i	24081	6.9%
e	23934	6.9%
l	23633	6.8%
	22869	6.6%
n	19682	5.7%
t	17852	5.1%
p	16450	4.7%
Other values (18)	90093	25.9%

None

Value	Count	Frequency (%)
ó	7235	81.3%
é	1667	18.7%

fami_trabajolaborpadre
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	0.1%
Missing	1456
Missing (%)	9.4%
Memory size	120.7 KiB

Trabaja como profesional (por ejemplo médico, abogado, ingeniero)	4335
Es dueño de un negocio grande, tiene un cargo de nivel directivo o gerencial	1618
Es dueño de un negocio pequeño (tiene pocos empleados o no tiene, por ejemplo tienda, papelería, etc	1289
Trabaja por cuenta propia (por ejemplo plomero, electricista)	1037
No aplica	993
Other values (8)	4707

Length

Max length	100
Median length	65
Mean length	57.19514987
Min length	7

Characters and Unicode

Total characters	799531
Distinct characters	37
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Trabaja en el hogar, no trabaja o estudia
2nd row	Trabaja en el hogar, no trabaja o estudia
3rd row	Es dueño de un negocio grande, tiene un cargo de nivel directivo o gerencial
4th row	Trabaja como profesional (por ejemplo médico, abogado, ingeniero)
5th row	Trabaja como personal de limpieza, mantenimiento, seguridad o construcción

Common Values

Value	Count	Frequency (%)
Trabaja como profesional (por ejemplo médico, abogado, ingeniero)	4335	28.1%
Es dueño de un negocio grande, tiene un cargo de nivel directivo o gerencial	1618	10.5%
Es dueño de un negocio pequeño (tiene pocos empleados o no tiene, por ejemplo tienda, papelería, etc	1289	8.4%
Trabaja por cuenta propia (por ejemplo plomero, electricista)	1037	6.7%
No aplica	993	6.4%
No sabe	944	6.1%
Es operario de máquinas o conduce vehículos (taxita, chofer)	783	5.1%
Es vendedor o trabaja en atención al público	667	4.3%
Trabaja en el hogar, no trabaja o estudia	643	4.2%
Tiene un trabajo de tipo auxiliar administrativo (por ejemplo, secretario o asistente)	490	3.2%
Other values (3)	1180	7.6%
(Missing)	1456	9.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
por	8188	6.8%
trabaja	7645	6.4%
ejemplo	7151	6.0%
o	6209	5.2%
de	6118	5.1%
un	5015	4.2%
es	4756	4.0%
tiene	4686	3.9%
como	4655	3.9%
profesional	4335	3.6%
Other values (52)	61400	51.1%

Most occurring characters

Value	Count	Frequency (%)
	106179	13.3%
o	92291	11.5%
e	85052	10.6%
a	64202	8.0%
i	47824	6.0%
r	44439	5.6%
n	43823	5.5%
p	33202	4.2%
c	29748	3.7%
d	27860	3.5%
Other values (27)	224911	28.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	646647	80.9%
Space Separator	106179	13.3%
Other Punctuation	18147	2.3%
Uppercase Letter	13979	1.7%
Open Punctuation	7934	1.0%
Close Punctuation	6645	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	92291	14.3%
e	85052	13.2%
a	64202	9.9%
i	47824	7.4%
r	44439	6.9%
n	43823	6.8%
p	33202	5.1%
c	29748	4.6%
d	27860	4.3%
l	25055	3.9%
Other values (19)	153151	23.7%

Uppercase Letter

Value	Count	Frequency (%)
T	6825	48.8%
E	4756	34.0%
N	1937	13.9%
P	461	3.3%

Space Separator

Value	Count	Frequency (%)
	106179	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	18147	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	7934	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6645	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	660626	82.6%
Common	138905	17.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	92291	14.0%
e	85052	12.9%
a	64202	9.7%
i	47824	7.2%
r	44439	6.7%
n	43823	6.6%
p	33202	5.0%
c	29748	4.5%
d	27860	4.2%
l	25055	3.8%
Other values (23)	167130	25.3%

Common

Value	Count	Frequency (%)
	106179	76.4%
,	18147	13.1%
(	7934	5.7%
)	6645	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	786491	98.4%
None	13040	1.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	106179	13.5%
o	92291	11.7%
e	85052	10.8%
a	64202	8.2%
i	47824	6.1%
r	44439	5.7%
n	43823	5.6%
p	33202	4.2%
c	29748	3.8%
d	27860	3.5%
Other values (21)	211871	26.9%

None

Value	Count	Frequency (%)
é	4335	33.2%
ñ	4196	32.2%
í	2072	15.9%
ó	987	7.6%
á	783	6.0%
ú	667	5.1%

fami_trabajolabormadre
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	0.1%
Missing	1460
Missing (%)	9.5%
Memory size	120.7 KiB

Trabaja como profesional (por ejemplo médico, abogado, ingeniero)	4209
Trabaja en el hogar, no trabaja o estudia	3351
Es dueño de un negocio pequeño (tiene pocos empleados o no tiene, por ejemplo tienda, papelería, etc	1317
Tiene un trabajo de tipo auxiliar administrativo (por ejemplo, secretario o asistente)	1172
Es dueño de un negocio grande, tiene un cargo de nivel directivo o gerencial	943
Other values (8)	2983

Length

Max length	100
Median length	65
Mean length	59.69903399
Min length	7

Characters and Unicode

Total characters	834294
Distinct characters	37
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Trabaja por cuenta propia (por ejemplo plomero, electricista)
2nd row	Trabaja en el hogar, no trabaja o estudia
3rd row	Trabaja como profesional (por ejemplo médico, abogado, ingeniero)
4th row	Trabaja en el hogar, no trabaja o estudia
5th row	Trabaja en el hogar, no trabaja o estudia

Common Values

Value	Count	Frequency (%)
Trabaja como profesional (por ejemplo médico, abogado, ingeniero)	4209	27.3%
Trabaja en el hogar, no trabaja o estudia	3351	21.7%
Es dueño de un negocio pequeño (tiene pocos empleados o no tiene, por ejemplo tienda, papelería, etc	1317	8.5%
Tiene un trabajo de tipo auxiliar administrativo (por ejemplo, secretario o asistente)	1172	7.6%
Es dueño de un negocio grande, tiene un cargo de nivel directivo o gerencial	943	6.1%
Es vendedor o trabaja en atención al público	888	5.8%
No aplica	520	3.4%
Trabaja por cuenta propia (por ejemplo plomero, electricista)	507	3.3%
Trabaja como personal de limpieza, mantenimiento, seguridad o construcción	427	2.8%
No sabe	268	1.7%
Other values (3)	373	2.4%
(Missing)	1460	9.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
trabaja	12733	9.9%
o	8292	6.5%
por	7712	6.0%
ejemplo	7205	5.6%
no	5456	4.3%
de	4899	3.8%
tiene	4749	3.7%
como	4636	3.6%
un	4375	3.4%
en	4239	3.3%
Other values (52)	63955	49.9%

Most occurring characters

Value	Count	Frequency (%)
	114276	13.7%
o	90973	10.9%
e	84787	10.2%
a	82075	9.8%
i	48607	5.8%
r	47629	5.7%
n	45790	5.5%
p	30860	3.7%
d	27526	3.3%
t	26929	3.2%
Other values (27)	234842	28.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	673366	80.7%
Space Separator	114276	13.7%
Other Punctuation	19390	2.3%
Uppercase Letter	13975	1.7%
Open Punctuation	7302	0.9%
Close Punctuation	5985	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	90973	13.5%
e	84787	12.6%
a	82075	12.2%
i	48607	7.2%
r	47629	7.1%
n	45790	6.8%
p	30860	4.6%
d	27526	4.1%
t	26929	4.0%
l	24912	3.7%
Other values (19)	163278	24.2%

Uppercase Letter

Value	Count	Frequency (%)
T	9666	69.2%
E	3342	23.9%
N	788	5.6%
P	179	1.3%

Space Separator

Value	Count	Frequency (%)
	114276	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	19390	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	7302	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5985	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	687341	82.4%
Common	146953	17.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	90973	13.2%
e	84787	12.3%
a	82075	11.9%
i	48607	7.1%
r	47629	6.9%
n	45790	6.7%
p	30860	4.5%
d	27526	4.0%
t	26929	3.9%
l	24912	3.6%
Other values (23)	177253	25.8%

Common

Value	Count	Frequency (%)
	114276	77.8%
,	19390	13.2%
(	7302	5.0%
)	5985	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	822794	98.6%
None	11500	1.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	114276	13.9%
o	90973	11.1%
e	84787	10.3%
a	82075	10.0%
i	48607	5.9%
r	47629	5.8%
n	45790	5.6%
p	30860	3.8%
d	27526	3.3%
t	26929	3.3%
Other values (21)	223342	27.1%

None

Value	Count	Frequency (%)
é	4209	36.6%
ñ	3577	31.1%
í	1414	12.3%
ó	1315	11.4%
ú	888	7.7%
á	97	0.8%

fami_tieneinternet
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1529
Missing (%)	9.9%
Memory size	120.7 KiB

Si	13231
No	675

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	27812
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	Si
4th row	Si
5th row	Si

Common Values

Value	Count	Frequency (%)
Si	13231	85.7%
No	675	4.4%
(Missing)	1529	9.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
si	13231	95.1%
no	675	4.9%

Most occurring characters

Value	Count	Frequency (%)
S	13231	47.6%
i	13231	47.6%
N	675	2.4%
o	675	2.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	13906	50.0%
Lowercase Letter	13906	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	13231	95.1%
N	675	4.9%

Lowercase Letter

Value	Count	Frequency (%)
i	13231	95.1%
o	675	4.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27812	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	13231	47.6%
i	13231	47.6%
N	675	2.4%
o	675	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27812	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	13231	47.6%
i	13231	47.6%
N	675	2.4%
o	675	2.4%

fami_tieneserviciotv
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1544
Missing (%)	10.0%
Memory size	120.7 KiB

Si	12672
No	1219

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	27782
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	Si
5th row	No

Common Values

Value	Count	Frequency (%)
Si	12672	82.1%
No	1219	7.9%
(Missing)	1544	10.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
si	12672	91.2%
no	1219	8.8%

Most occurring characters

Value	Count	Frequency (%)
S	12672	45.6%
i	12672	45.6%
N	1219	4.4%
o	1219	4.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	13891	50.0%
Lowercase Letter	13891	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	12672	91.2%
N	1219	8.8%

Lowercase Letter

Value	Count	Frequency (%)
i	12672	91.2%
o	1219	8.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27782	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	12672	45.6%
i	12672	45.6%
N	1219	4.4%
o	1219	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27782	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	12672	45.6%
i	12672	45.6%
N	1219	4.4%
o	1219	4.4%

fami_tienecomputador
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1422
Missing (%)	9.2%
Memory size	120.7 KiB

Si	12671
No	1342

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	28026
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	Si
4th row	Si
5th row	Si

Common Values

Value	Count	Frequency (%)
Si	12671	82.1%
No	1342	8.7%
(Missing)	1422	9.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
si	12671	90.4%
no	1342	9.6%

Most occurring characters

Value	Count	Frequency (%)
S	12671	45.2%
i	12671	45.2%
N	1342	4.8%
o	1342	4.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	14013	50.0%
Lowercase Letter	14013	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	12671	90.4%
N	1342	9.6%

Lowercase Letter

Value	Count	Frequency (%)
i	12671	90.4%
o	1342	9.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	28026	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	12671	45.2%
i	12671	45.2%
N	1342	4.8%
o	1342	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28026	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	12671	45.2%
i	12671	45.2%
N	1342	4.8%
o	1342	4.8%

fami_tienelavadora
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1427
Missing (%)	9.2%
Memory size	120.7 KiB

Si	13076
No	932

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	28016
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	Si
4th row	Si
5th row	Si

Common Values

Value	Count	Frequency (%)
Si	13076	84.7%
No	932	6.0%
(Missing)	1427	9.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
si	13076	93.3%
no	932	6.7%

Most occurring characters

Value	Count	Frequency (%)
S	13076	46.7%
i	13076	46.7%
N	932	3.3%
o	932	3.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	14008	50.0%
Lowercase Letter	14008	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	13076	93.3%
N	932	6.7%

Lowercase Letter

Value	Count	Frequency (%)
i	13076	93.3%
o	932	6.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	28016	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	13076	46.7%
i	13076	46.7%
N	932	3.3%
o	932	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28016	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	13076	46.7%
i	13076	46.7%
N	932	3.3%
o	932	3.3%

fami_tienehornomicroogas
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1437
Missing (%)	9.3%
Memory size	120.7 KiB

Si	11353
No	2645

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	27996
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	Si
5th row	Si

Common Values

Value	Count	Frequency (%)
Si	11353	73.6%
No	2645	17.1%
(Missing)	1437	9.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
si	11353	81.1%
no	2645	18.9%

Most occurring characters

Value	Count	Frequency (%)
S	11353	40.6%
i	11353	40.6%
N	2645	9.4%
o	2645	9.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	13998	50.0%
Lowercase Letter	13998	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	11353	81.1%
N	2645	18.9%

Lowercase Letter

Value	Count	Frequency (%)
i	11353	81.1%
o	2645	18.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27996	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	11353	40.6%
i	11353	40.6%
N	2645	9.4%
o	2645	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	11353	40.6%
i	11353	40.6%
N	2645	9.4%
o	2645	9.4%

fami_tieneautomovil
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1455
Missing (%)	9.4%
Memory size	120.7 KiB

Si	9756
No	4224

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	27960
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	Si
5th row	No

Common Values

Value	Count	Frequency (%)
Si	9756	63.2%
No	4224	27.4%
(Missing)	1455	9.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
si	9756	69.8%
no	4224	30.2%

Most occurring characters

Value	Count	Frequency (%)
S	9756	34.9%
i	9756	34.9%
N	4224	15.1%
o	4224	15.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	13980	50.0%
Lowercase Letter	13980	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	9756	69.8%
N	4224	30.2%

Lowercase Letter

Value	Count	Frequency (%)
i	9756	69.8%
o	4224	30.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27960	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	9756	34.9%
i	9756	34.9%
N	4224	15.1%
o	4224	15.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27960	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	9756	34.9%
i	9756	34.9%
N	4224	15.1%
o	4224	15.1%

fami_tienemotocicleta
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1451
Missing (%)	9.4%
Memory size	120.7 KiB

No	9962
Si	4022

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	27968
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	Si
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	9962	64.5%
Si	4022	26.1%
(Missing)	1451	9.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	9962	71.2%
si	4022	28.8%

Most occurring characters

Value	Count	Frequency (%)
N	9962	35.6%
o	9962	35.6%
S	4022	14.4%
i	4022	14.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	13984	50.0%
Lowercase Letter	13984	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	9962	71.2%
S	4022	28.8%

Lowercase Letter

Value	Count	Frequency (%)
o	9962	71.2%
i	4022	28.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27968	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	9962	35.6%
o	9962	35.6%
S	4022	14.4%
i	4022	14.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	9962	35.6%
o	9962	35.6%
S	4022	14.4%
i	4022	14.4%

fami_tieneconsolavideojuegos
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1451
Missing (%)	9.4%
Memory size	120.7 KiB

Si	7815
No	6169

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	27968
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
Si	7815	50.6%
No	6169	40.0%
(Missing)	1451	9.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
si	7815	55.9%
no	6169	44.1%

Most occurring characters

Value	Count	Frequency (%)
S	7815	27.9%
i	7815	27.9%
N	6169	22.1%
o	6169	22.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	13984	50.0%
Lowercase Letter	13984	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	7815	55.9%
N	6169	44.1%

Lowercase Letter

Value	Count	Frequency (%)
i	7815	55.9%
o	6169	44.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27968	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	7815	27.9%
i	7815	27.9%
N	6169	22.1%
o	6169	22.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	7815	27.9%
i	7815	27.9%
N	6169	22.1%
o	6169	22.1%

fami_numlibros
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	1763
Missing (%)	11.4%
Memory size	120.7 KiB

26 A 100 LIBROS	4842
MÁS DE 100 LIBROS	3272
11 A 25 LIBROS	3066
0 A 10 LIBROS	2492

Length

Max length	17
Median length	15
Mean length	14.88984786
Min length	13

Characters and Unicode

Total characters	203574
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0 A 10 LIBROS
2nd row	0 A 10 LIBROS
3rd row	11 A 25 LIBROS
4th row	26 A 100 LIBROS
5th row	0 A 10 LIBROS

Common Values

Value	Count	Frequency (%)
26 A 100 LIBROS	4842	31.4%
MÁS DE 100 LIBROS	3272	21.2%
11 A 25 LIBROS	3066	19.9%
0 A 10 LIBROS	2492	16.1%
(Missing)	1763	11.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
libros	13672	25.0%
a	10400	19.0%
100	8114	14.8%
26	4842	8.9%
más	3272	6.0%
de	3272	6.0%
11	3066	5.6%
25	3066	5.6%
0	2492	4.6%
10	2492	4.6%

Most occurring characters

Value	Count	Frequency (%)
	41016	20.1%
0	21212	10.4%
S	16944	8.3%
1	16738	8.2%
B	13672	6.7%
O	13672	6.7%
L	13672	6.7%
I	13672	6.7%
R	13672	6.7%
A	10400	5.1%
Other values (7)	28904	14.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	108792	53.4%
Decimal Number	53766	26.4%
Space Separator	41016	20.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	16944	15.6%
B	13672	12.6%
O	13672	12.6%
L	13672	12.6%
I	13672	12.6%
R	13672	12.6%
A	10400	9.6%
M	3272	3.0%
Á	3272	3.0%
D	3272	3.0%

Decimal Number

Value	Count	Frequency (%)
0	21212	39.5%
1	16738	31.1%
2	7908	14.7%
6	4842	9.0%
5	3066	5.7%

Space Separator

Value	Count	Frequency (%)
	41016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	108792	53.4%
Common	94782	46.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	16944	15.6%
B	13672	12.6%
O	13672	12.6%
L	13672	12.6%
I	13672	12.6%
R	13672	12.6%
A	10400	9.6%
M	3272	3.0%
Á	3272	3.0%
D	3272	3.0%

Common

Value	Count	Frequency (%)
	41016	43.3%
0	21212	22.4%
1	16738	17.7%
2	7908	8.3%
6	4842	5.1%
5	3066	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	200302	98.4%
None	3272	1.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	41016	20.5%
0	21212	10.6%
S	16944	8.5%
1	16738	8.4%
B	13672	6.8%
O	13672	6.8%
L	13672	6.8%
I	13672	6.8%
R	13672	6.8%
A	10400	5.2%
Other values (6)	25632	12.8%

None

Value	Count	Frequency (%)
Á	3272	100.0%

fami_comelechederivados
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	1637
Missing (%)	10.6%
Memory size	120.7 KiB

Todos o casi todos los días	7615
3 a 5 veces por semana	3180
1 o 2 veces por semana	2401
Nunca o rara vez comemos eso	602

Length

Max length	28
Median length	27
Mean length	25.02123496
Min length	22

Characters and Unicode

Total characters	345243
Distinct characters	24
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1 o 2 veces por semana
2nd row	1 o 2 veces por semana
3rd row	1 o 2 veces por semana
4th row	Todos o casi todos los días
5th row	1 o 2 veces por semana

Common Values

Value	Count	Frequency (%)
Todos o casi todos los días	7615	49.3%
3 a 5 veces por semana	3180	20.6%
1 o 2 veces por semana	2401	15.6%
Nunca o rara vez comemos eso	602	3.9%
(Missing)	1637	10.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
todos	15230	18.4%
o	10618	12.8%
casi	7615	9.2%
los	7615	9.2%
días	7615	9.2%
veces	5581	6.7%
semana	5581	6.7%
por	5581	6.7%
5	3180	3.8%
a	3180	3.8%
Other values (8)	10992	13.3%

Most occurring characters

Value	Count	Frequency (%)
	68990	20.0%
o	56080	16.2%
s	50441	14.6%
a	31378	9.1%
d	22845	6.6%
e	18549	5.4%
c	14400	4.2%
T	7615	2.2%
í	7615	2.2%
t	7615	2.2%
Other values (14)	59715	17.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	256874	74.4%
Space Separator	68990	20.0%
Decimal Number	11162	3.2%
Uppercase Letter	8217	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	56080	21.8%
s	50441	19.6%
a	31378	12.2%
d	22845	8.9%
e	18549	7.2%
c	14400	5.6%
í	7615	3.0%
t	7615	3.0%
l	7615	3.0%
i	7615	3.0%
Other values (7)	32721	12.7%

Decimal Number

Value	Count	Frequency (%)
5	3180	28.5%
3	3180	28.5%
1	2401	21.5%
2	2401	21.5%

Uppercase Letter

Value	Count	Frequency (%)
T	7615	92.7%
N	602	7.3%

Space Separator

Value	Count	Frequency (%)
	68990	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	265091	76.8%
Common	80152	23.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	56080	21.2%
s	50441	19.0%
a	31378	11.8%
d	22845	8.6%
e	18549	7.0%
c	14400	5.4%
T	7615	2.9%
í	7615	2.9%
t	7615	2.9%
l	7615	2.9%
Other values (9)	40938	15.4%

Common

Value	Count	Frequency (%)
	68990	86.1%
5	3180	4.0%
3	3180	4.0%
1	2401	3.0%
2	2401	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	337628	97.8%
None	7615	2.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	68990	20.4%
o	56080	16.6%
s	50441	14.9%
a	31378	9.3%
d	22845	6.8%
e	18549	5.5%
c	14400	4.3%
T	7615	2.3%
t	7615	2.3%
l	7615	2.3%
Other values (13)	52100	15.4%

None

Value	Count	Frequency (%)
í	7615	100.0%

fami_comecarnepescadohuevo
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	1535
Missing (%)	9.9%
Memory size	120.7 KiB

Todos o casi todos los días	9383
3 a 5 veces por semana	2864
1 o 2 veces por semana	1346
Nunca o rara vez comemos eso	307

Length

Max length	28
Median length	27
Mean length	25.50769784
Min length	22

Characters and Unicode

Total characters	354557
Distinct characters	24
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1 o 2 veces por semana
2nd row	3 a 5 veces por semana
3rd row	Todos o casi todos los días
4th row	3 a 5 veces por semana
5th row	Nunca o rara vez comemos eso

Common Values

Value	Count	Frequency (%)
Todos o casi todos los días	9383	60.8%
3 a 5 veces por semana	2864	18.6%
1 o 2 veces por semana	1346	8.7%
Nunca o rara vez comemos eso	307	2.0%
(Missing)	1535	9.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
todos	18766	22.5%
o	11036	13.2%
casi	9383	11.3%
los	9383	11.3%
días	9383	11.3%
veces	4210	5.0%
semana	4210	5.0%
por	4210	5.0%
5	2864	3.4%
a	2864	3.4%
Other values (8)	7091	8.5%

Most occurring characters

Value	Count	Frequency (%)
	69500	19.6%
o	63082	17.8%
s	55949	15.8%
a	30971	8.7%
d	28149	7.9%
c	14207	4.0%
e	13551	3.8%
T	9383	2.6%
í	9383	2.6%
t	9383	2.6%
Other values (14)	50999	14.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	266947	75.3%
Space Separator	69500	19.6%
Uppercase Letter	9690	2.7%
Decimal Number	8420	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	63082	23.6%
s	55949	21.0%
a	30971	11.6%
d	28149	10.5%
c	14207	5.3%
e	13551	5.1%
í	9383	3.5%
t	9383	3.5%
l	9383	3.5%
i	9383	3.5%
Other values (7)	23506	8.8%

Decimal Number

Value	Count	Frequency (%)
5	2864	34.0%
3	2864	34.0%
1	1346	16.0%
2	1346	16.0%

Uppercase Letter

Value	Count	Frequency (%)
T	9383	96.8%
N	307	3.2%

Space Separator

Value	Count	Frequency (%)
	69500	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	276637	78.0%
Common	77920	22.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	63082	22.8%
s	55949	20.2%
a	30971	11.2%
d	28149	10.2%
c	14207	5.1%
e	13551	4.9%
T	9383	3.4%
í	9383	3.4%
t	9383	3.4%
l	9383	3.4%
Other values (9)	33196	12.0%

Common

Value	Count	Frequency (%)
	69500	89.2%
5	2864	3.7%
3	2864	3.7%
1	1346	1.7%
2	1346	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	345174	97.4%
None	9383	2.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	69500	20.1%
o	63082	18.3%
s	55949	16.2%
a	30971	9.0%
d	28149	8.2%
c	14207	4.1%
e	13551	3.9%
T	9383	2.7%
t	9383	2.7%
l	9383	2.7%
Other values (13)	41616	12.1%

None

Value	Count	Frequency (%)
í	9383	100.0%

fami_comecerealfrutoslegumbre
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	1548
Missing (%)	10.0%
Memory size	120.7 KiB

3 a 5 veces por semana	4940
Todos o casi todos los días	4679
1 o 2 veces por semana	3483
Nunca o rara vez comemos eso	785

Length

Max length	28
Median length	22
Mean length	24.02383524
Min length	22

Characters and Unicode

Total characters	333619
Distinct characters	24
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Todos o casi todos los días
2nd row	1 o 2 veces por semana
3rd row	3 a 5 veces por semana
4th row	1 o 2 veces por semana
5th row	Nunca o rara vez comemos eso

Common Values

Value	Count	Frequency (%)
3 a 5 veces por semana	4940	32.0%
Todos o casi todos los días	4679	30.3%
1 o 2 veces por semana	3483	22.6%
Nunca o rara vez comemos eso	785	5.1%
(Missing)	1548	10.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
todos	9358	11.2%
o	8947	10.7%
veces	8423	10.1%
por	8423	10.1%
semana	8423	10.1%
3	4940	5.9%
a	4940	5.9%
5	4940	5.9%
días	4679	5.6%
los	4679	5.6%
Other values (8)	15570	18.7%

Most occurring characters

Value	Count	Frequency (%)
	69435	20.8%
o	43120	12.9%
s	41811	12.5%
a	33499	10.0%
e	27624	8.3%
c	14672	4.4%
d	14037	4.2%
r	9993	3.0%
m	9993	3.0%
n	9208	2.8%
Other values (14)	60227	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	241874	72.5%
Space Separator	69435	20.8%
Decimal Number	16846	5.0%
Uppercase Letter	5464	1.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	43120	17.8%
s	41811	17.3%
a	33499	13.8%
e	27624	11.4%
c	14672	6.1%
d	14037	5.8%
r	9993	4.1%
m	9993	4.1%
n	9208	3.8%
v	9208	3.8%
Other values (7)	28709	11.9%

Decimal Number

Value	Count	Frequency (%)
3	4940	29.3%
5	4940	29.3%
1	3483	20.7%
2	3483	20.7%

Uppercase Letter

Value	Count	Frequency (%)
T	4679	85.6%
N	785	14.4%

Space Separator

Value	Count	Frequency (%)
	69435	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	247338	74.1%
Common	86281	25.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	43120	17.4%
s	41811	16.9%
a	33499	13.5%
e	27624	11.2%
c	14672	5.9%
d	14037	5.7%
r	9993	4.0%
m	9993	4.0%
n	9208	3.7%
v	9208	3.7%
Other values (9)	34173	13.8%

Common

Value	Count	Frequency (%)
	69435	80.5%
3	4940	5.7%
5	4940	5.7%
1	3483	4.0%
2	3483	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	328940	98.6%
None	4679	1.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	69435	21.1%
o	43120	13.1%
s	41811	12.7%
a	33499	10.2%
e	27624	8.4%
c	14672	4.5%
d	14037	4.3%
r	9993	3.0%
m	9993	3.0%
n	9208	2.8%
Other values (13)	55548	16.9%

None

Value	Count	Frequency (%)
í	4679	100.0%

fami_situacioneconomica
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	1450
Missing (%)	9.4%
Memory size	120.7 KiB

Igual	8093
Peor	3013
Mejor	2879

Length

Max length	5
Median length	5
Mean length	4.78455488
Min length	4

Characters and Unicode

Total characters	66912
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mejor
2nd row	Igual
3rd row	Igual
4th row	Igual
5th row	Peor

Common Values

Value	Count	Frequency (%)
Igual	8093	52.4%
Peor	3013	19.5%
Mejor	2879	18.7%
(Missing)	1450	9.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
igual	8093	57.9%
peor	3013	21.5%
mejor	2879	20.6%

Most occurring characters

Value	Count	Frequency (%)
I	8093	12.1%
g	8093	12.1%
u	8093	12.1%
a	8093	12.1%
l	8093	12.1%
e	5892	8.8%
o	5892	8.8%
r	5892	8.8%
P	3013	4.5%
M	2879	4.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	52927	79.1%
Uppercase Letter	13985	20.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
g	8093	15.3%
u	8093	15.3%
a	8093	15.3%
l	8093	15.3%
e	5892	11.1%
o	5892	11.1%
r	5892	11.1%
j	2879	5.4%

Uppercase Letter

Value	Count	Frequency (%)
I	8093	57.9%
P	3013	21.5%
M	2879	20.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	66912	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	8093	12.1%
g	8093	12.1%
u	8093	12.1%
a	8093	12.1%
l	8093	12.1%
e	5892	8.8%
o	5892	8.8%
r	5892	8.8%
P	3013	4.5%
M	2879	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66912	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	8093	12.1%
g	8093	12.1%
u	8093	12.1%
a	8093	12.1%
l	8093	12.1%
e	5892	8.8%
o	5892	8.8%
r	5892	8.8%
P	3013	4.5%
M	2879	4.3%

estu_dedicacionlecturadiaria
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	1532
Missing (%)	9.9%
Memory size	120.7 KiB

30 minutos o menos	4441
Entre 30 y 60 minutos	3896
No leo por entretenimiento	3263
Entre 1 y 2 horas	1666
Más de 2 horas	637

Length

Max length	26
Median length	21
Mean length	20.4151622
Min length	14

Characters and Unicode

Total characters	283832
Distinct characters	25
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No leo por entretenimiento
2nd row	30 minutos o menos
3rd row	30 minutos o menos
4th row	No leo por entretenimiento
5th row	Entre 30 y 60 minutos

Common Values

Value	Count	Frequency (%)
30 minutos o menos	4441	28.8%
Entre 30 y 60 minutos	3896	25.2%
No leo por entretenimiento	3263	21.1%
Entre 1 y 2 horas	1666	10.8%
Más de 2 horas	637	4.1%
(Missing)	1532	9.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
30	8337	13.6%
minutos	8337	13.6%
entre	5562	9.1%
y	5562	9.1%
o	4441	7.3%
menos	4441	7.3%
60	3896	6.4%
no	3263	5.3%
leo	3263	5.3%
por	3263	5.3%
Other values (6)	10809	17.7%

Most occurring characters

Value	Count	Frequency (%)
	47271	16.7%
o	32574	11.5%
n	28129	9.9%
e	26955	9.5%
t	23688	8.3%
m	16041	5.7%
s	15718	5.5%
i	14863	5.2%
r	14391	5.1%
0	12233	4.3%
Other values (15)	51969	18.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	198664	70.0%
Space Separator	47271	16.7%
Decimal Number	28435	10.0%
Uppercase Letter	9462	3.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	32574	16.4%
n	28129	14.2%
e	26955	13.6%
t	23688	11.9%
m	16041	8.1%
s	15718	7.9%
i	14863	7.5%
r	14391	7.2%
u	8337	4.2%
y	5562	2.8%
Other values (6)	12406	6.2%

Decimal Number

Value	Count	Frequency (%)
0	12233	43.0%
3	8337	29.3%
6	3896	13.7%
2	2303	8.1%
1	1666	5.9%

Uppercase Letter

Value	Count	Frequency (%)
E	5562	58.8%
N	3263	34.5%
M	637	6.7%

Space Separator

Value	Count	Frequency (%)
	47271	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	208126	73.3%
Common	75706	26.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	32574	15.7%
n	28129	13.5%
e	26955	13.0%
t	23688	11.4%
m	16041	7.7%
s	15718	7.6%
i	14863	7.1%
r	14391	6.9%
u	8337	4.0%
E	5562	2.7%
Other values (9)	21868	10.5%

Common

Value	Count	Frequency (%)
	47271	62.4%
0	12233	16.2%
3	8337	11.0%
6	3896	5.1%
2	2303	3.0%
1	1666	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	283195	99.8%
None	637	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	47271	16.7%
o	32574	11.5%
n	28129	9.9%
e	26955	9.5%
t	23688	8.4%
m	16041	5.7%
s	15718	5.6%
i	14863	5.2%
r	14391	5.1%
0	12233	4.3%
Other values (14)	51332	18.1%

None

Value	Count	Frequency (%)
á	637	100.0%

estu_dedicacioninternet
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	1553
Missing (%)	10.1%
Memory size	120.7 KiB

Más de 3 horas	5563
Entre 1 y 3 horas	5040
Entre 30 y 60 minutos	2061
30 minutos o menos	914
No Navega Internet	304

Length

Max length	21
Median length	17
Mean length	16.47939778
Min length	14

Characters and Unicode

Total characters	228767
Distinct characters	25
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No Navega Internet
2nd row	No Navega Internet
3rd row	Entre 1 y 3 horas
4th row	Más de 3 horas
5th row	Más de 3 horas

Common Values

Value	Count	Frequency (%)
Más de 3 horas	5563	36.0%
Entre 1 y 3 horas	5040	32.7%
Entre 30 y 60 minutos	2061	13.4%
30 minutos o menos	914	5.9%
No Navega Internet	304	2.0%
(Missing)	1553	10.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	10603	17.0%
horas	10603	17.0%
entre	7101	11.4%
y	7101	11.4%
más	5563	8.9%
de	5563	8.9%
1	5040	8.1%
30	2975	4.8%
minutos	2975	4.8%
60	2061	3.3%
Other values (5)	2740	4.4%

Most occurring characters

Value	Count	Frequency (%)
	48443	21.2%
s	20055	8.8%
r	18008	7.9%
o	15710	6.9%
e	14490	6.3%
3	13578	5.9%
n	11598	5.1%
a	11211	4.9%
t	10684	4.7%
h	10603	4.6%
Other values (15)	54387	23.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	141033	61.6%
Space Separator	48443	21.2%
Decimal Number	25715	11.2%
Uppercase Letter	13576	5.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	20055	14.2%
r	18008	12.8%
o	15710	11.1%
e	14490	10.3%
n	11598	8.2%
a	11211	7.9%
t	10684	7.6%
h	10603	7.5%
y	7101	5.0%
á	5563	3.9%
Other values (6)	16010	11.4%

Decimal Number

Value	Count	Frequency (%)
3	13578	52.8%
1	5040	19.6%
0	5036	19.6%
6	2061	8.0%

Uppercase Letter

Value	Count	Frequency (%)
E	7101	52.3%
M	5563	41.0%
N	608	4.5%
I	304	2.2%

Space Separator

Value	Count	Frequency (%)
	48443	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	154609	67.6%
Common	74158	32.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	20055	13.0%
r	18008	11.6%
o	15710	10.2%
e	14490	9.4%
n	11598	7.5%
a	11211	7.3%
t	10684	6.9%
h	10603	6.9%
y	7101	4.6%
E	7101	4.6%
Other values (10)	28048	18.1%

Common

Value	Count	Frequency (%)
	48443	65.3%
3	13578	18.3%
1	5040	6.8%
0	5036	6.8%
6	2061	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	223204	97.6%
None	5563	2.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	48443	21.7%
s	20055	9.0%
r	18008	8.1%
o	15710	7.0%
e	14490	6.5%
3	13578	6.1%
n	11598	5.2%
a	11211	5.0%
t	10684	4.8%
h	10603	4.8%
Other values (14)	48824	21.9%

None

Value	Count	Frequency (%)
á	5563	100.0%

estu_horassemanatrabaja
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	1420
Missing (%)	9.2%
Memory size	120.7 KiB

0	9835
Menos de 10 horas	1796
Entre 11 y 20 horas	953
Más de 30 horas	915
Entre 21 y 30 horas	516

Length

Max length	19
Median length	1
Mean length	5.85108812
Min length	1

Characters and Unicode

Total characters	82003
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Más de 30 horas
2nd row	Entre 11 y 20 horas
3rd row	Entre 11 y 20 horas
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9835	63.7%
Menos de 10 horas	1796	11.6%
Entre 11 y 20 horas	953	6.2%
Más de 30 horas	915	5.9%
Entre 21 y 30 horas	516	3.3%
(Missing)	1420	9.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	9835	35.1%
horas	4180	14.9%
de	2711	9.7%
menos	1796	6.4%
10	1796	6.4%
entre	1469	5.2%
y	1469	5.2%
30	1431	5.1%
11	953	3.4%
20	953	3.4%
Other values (2)	1431	5.1%

Most occurring characters

Value	Count	Frequency (%)
0	14015	17.1%
	14009	17.1%
s	6891	8.4%
e	5976	7.3%
o	5976	7.3%
r	5649	6.9%
1	4218	5.1%
a	4180	5.1%
h	4180	5.1%
n	3265	4.0%
Other values (8)	13644	16.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	42681	52.0%
Decimal Number	21133	25.8%
Space Separator	14009	17.1%
Uppercase Letter	4180	5.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	6891	16.1%
e	5976	14.0%
o	5976	14.0%
r	5649	13.2%
a	4180	9.8%
h	4180	9.8%
n	3265	7.6%
d	2711	6.4%
t	1469	3.4%
y	1469	3.4%

Decimal Number

Value	Count	Frequency (%)
0	14015	66.3%
1	4218	20.0%
2	1469	7.0%
3	1431	6.8%

Uppercase Letter

Value	Count	Frequency (%)
M	2711	64.9%
E	1469	35.1%

Space Separator

Value	Count	Frequency (%)
	14009	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	46861	57.1%
Common	35142	42.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	6891	14.7%
e	5976	12.8%
o	5976	12.8%
r	5649	12.1%
a	4180	8.9%
h	4180	8.9%
n	3265	7.0%
M	2711	5.8%
d	2711	5.8%
E	1469	3.1%
Other values (3)	3853	8.2%

Common

Value	Count	Frequency (%)
0	14015	39.9%
	14009	39.9%
1	4218	12.0%
2	1469	4.2%
3	1431	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	81088	98.9%
None	915	1.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	14015	17.3%
	14009	17.3%
s	6891	8.5%
e	5976	7.4%
o	5976	7.4%
r	5649	7.0%
1	4218	5.2%
a	4180	5.2%
h	4180	5.2%
n	3265	4.0%
Other values (7)	12729	15.7%

None

Value	Count	Frequency (%)
á	915	100.0%

estu_tiporemuneracion
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	1458
Missing (%)	9.4%
Memory size	120.7 KiB

No	10220
Si, en efectivo	3325
Si, en especie	226
Si, en efectivo y especie	206

Length

Max length	25
Median length	2
Mean length	5.625599199
Min length	2

Characters and Unicode

Total characters	78629
Distinct characters	15
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Si, en efectivo
2nd row	Si, en efectivo
3rd row	Si, en efectivo
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	10220	66.2%
Si, en efectivo	3325	21.5%
Si, en especie	226	1.5%
Si, en efectivo y especie	206	1.3%
(Missing)	1458	9.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	10220	46.7%
si	3757	17.2%
en	3757	17.2%
efectivo	3531	16.1%
especie	432	2.0%
y	206	0.9%

Most occurring characters

Value	Count	Frequency (%)
o	13751	17.5%
e	12115	15.4%
N	10220	13.0%
	7926	10.1%
i	7720	9.8%
c	3963	5.0%
S	3757	4.8%
,	3757	4.8%
n	3757	4.8%
f	3531	4.5%
Other values (5)	8132	10.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	52969	67.4%
Uppercase Letter	13977	17.8%
Space Separator	7926	10.1%
Other Punctuation	3757	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	13751	26.0%
e	12115	22.9%
i	7720	14.6%
c	3963	7.5%
n	3757	7.1%
f	3531	6.7%
t	3531	6.7%
v	3531	6.7%
s	432	0.8%
p	432	0.8%

Uppercase Letter

Value	Count	Frequency (%)
N	10220	73.1%
S	3757	26.9%

Space Separator

Value	Count	Frequency (%)
	7926	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	3757	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	66946	85.1%
Common	11683	14.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	13751	20.5%
e	12115	18.1%
N	10220	15.3%
i	7720	11.5%
c	3963	5.9%
S	3757	5.6%
n	3757	5.6%
f	3531	5.3%
t	3531	5.3%
v	3531	5.3%
Other values (3)	1070	1.6%

Common

Value	Count	Frequency (%)
	7926	67.8%
,	3757	32.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	78629	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	13751	17.5%
e	12115	15.4%
N	10220	13.0%
	7926	10.1%
i	7720	9.8%
c	3963	5.0%
S	3757	4.8%
,	3757	4.8%
n	3757	4.8%
f	3531	4.5%
Other values (5)	8132	10.3%

cole_codigo_icfes
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	667
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	130832.5166

Minimum	182
Maximum	730416
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	182
5-th percentile	16691
Q1	24299
median	79327
Q3	135574
95-th percentile	662742
Maximum	730416
Range	730234
Interquartile range (IQR)	111275

Descriptive statistics

Standard deviation	178352.1596
Coefficient of variation (CV)	1.363209731
Kurtosis	5.016069247
Mean	130832.5166
Median Absolute Deviation (MAD)	55588
Skewness	2.4733045
Sum	2019399893
Variance	3.180949285 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58727	186	1.2%
156026	139	0.9%
16691	130	0.8%
17293	129	0.8%
17335	118	0.8%
95869	115	0.7%
84988	110	0.7%
36681	109	0.7%
70094	106	0.7%
17228	106	0.7%
Other values (657)	14187	91.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
182	66	0.4%
372	49	0.3%
596	25	0.2%
2451	32	0.2%
3046	44	0.3%
3327	17	0.1%
3418	14	0.1%
4234	43	0.3%
6023	59	0.4%
7013	52	0.3%

Value	Count	Frequency (%)
730416	2	< 0.1%
730176	3	< 0.1%
730168	9	0.1%
729996	18	0.1%
729947	6	< 0.1%
729939	52	0.3%
729905	1	< 0.1%
729830	2	< 0.1%
729624	8	0.1%
727560	2	< 0.1%

cole_cod_dane_establecimiento
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	606
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.498385072 × 10¹¹

Minimum	1.050450003 × 10¹¹
Maximum	6.252690001 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	1.050450003 × 10¹¹
5-th percentile	3.050450017 × 10¹¹
Q1	3.117690009 × 10¹¹
median	3.680010001 × 10¹¹
Q3	3.760010265 × 10¹¹
95-th percentile	4.251750323 × 10¹¹
Maximum	6.252690001 × 10¹¹
Range	5.202239998 × 10¹¹
Interquartile range (IQR)	6.42320256 × 10¹⁰

Descriptive statistics

Standard deviation	4.704430848 × 10¹⁰
Coefficient of variation (CV)	0.1344743575
Kurtosis	4.66559759
Mean	3.498385072 × 10¹¹
Median Absolute Deviation (MAD)	4.224699476 × 10¹⁰
Skewness	-0.4505357314
Sum	5.399757358 × 10¹⁵
Variance	2.21316696 × 10²¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.760010282 × 10¹¹	186	1.2%
3.760010077 × 10¹¹	149	1.0%
3.760010358 × 10¹¹	139	0.9%
3.760010011 × 10¹¹	130	0.8%
3.760010035 × 10¹¹	129	0.8%
3.760010003 × 10¹¹	118	0.8%
3.050010227 × 10¹¹	115	0.7%
3.760010269 × 10¹¹	109	0.7%
3.760010009 × 10¹¹	106	0.7%
3.760010003 × 10¹¹	106	0.7%
Other values (596)	14148	91.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.050450003 × 10¹¹	2	< 0.1%
1.152380009 × 10¹¹	15	0.1%
1.170010007 × 10¹¹	3	< 0.1%
1.173800001 × 10¹¹	10	0.1%
1.19001004 × 10¹¹	3	< 0.1%
1.207500004 × 10¹¹	29	0.2%
1.25513001 × 10¹¹	8	0.1%
1.255130011 × 10¹¹	18	0.1%
1.448550005 × 10¹¹	1	< 0.1%
1.500010027 × 10¹¹	14	0.1%

Value	Count	Frequency (%)
6.252690001 × 10¹¹	4	< 0.1%
5.19001 × 10¹¹	45	0.3%
4.768921001 × 10¹¹	7	< 0.1%
4.768920997 × 10¹¹	3	< 0.1%
4.768920997 × 10¹¹	16	0.1%
4.765200072 × 10¹¹	48	0.3%
4.765200063 × 10¹¹	18	0.1%
4.765200038 × 10¹¹	15	0.1%
4.76248001 × 10¹¹	7	< 0.1%
4.762480005 × 10¹¹	50	0.3%

cole_nombre_establecimiento
Categorical

HIGH CARDINALITY

Distinct	592
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

COLEGIO COMFANDI EL PRADO	186
COLEGIO LEON DE GREIFF	149
COLEGIO MAYOR SAN FRANCISCO DE ASIS	139
COLEGIO AMERICANO	130
COLEGIO SAN ANTONIO MARIA CLARET	129
Other values (587)	14702

Length

Max length	74
Median length	26
Mean length	27.12089407
Min length	6

Characters and Unicode

Total characters	418611
Distinct characters	49
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	0.2%

Sample

1st row	I.E. MANUEL RODRIGUEZ TORICES
2nd row	INSTITUTO DE EDUCACIÓN TECNICA INESUR
3rd row	COORPORACION EDUCATIVA DEL SUR OCCIDENTE COLOMBIANO
4th row	NUEVO INSTITUTO DE APRENDIZAJE SURCOLOMBIANO
5th row	COL FUNDACION LIC INGLES

Common Values

Value	Count	Frequency (%)
COLEGIO COMFANDI EL PRADO	186	1.2%
COLEGIO LEON DE GREIFF	149	1.0%
COLEGIO MAYOR SAN FRANCISCO DE ASIS	139	0.9%
COLEGIO AMERICANO	130	0.8%
COLEGIO SAN ANTONIO MARIA CLARET	129	0.8%
COL BERCHMANS	118	0.8%
POLITÉCNICO MAYOR AGENCIA CRISTIANA DE SERVICIO Y EDUCACIÓN	115	0.7%
COMFANDI MIRAFLORES	109	0.7%
COL PARROQ SAN JUAN BAUTISTA	106	0.7%
COLEGIO PARROQIAL SANTIAGO APOSTOL	106	0.7%
Other values (582)	14148	91.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
colegio	6190	9.9%
col	4178	6.7%
de	3879	6.2%
san	1835	2.9%
la	1013	1.6%
los	889	1.4%
del	852	1.4%
instituto	700	1.1%
gimnasio	687	1.1%
comfandi	576	0.9%
Other values (837)	41844	66.8%

Most occurring characters

Value	Count	Frequency (%)
	47774	11.4%
O	44456	10.6%
A	39682	9.5%
E	35603	8.5%
I	35076	8.4%
C	30251	7.2%
L	27929	6.7%
N	27079	6.5%
S	20312	4.9%
R	19504	4.7%
Other values (39)	90945	21.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	367956	87.9%
Space Separator	47774	11.4%
Other Punctuation	1243	0.3%
Decimal Number	708	0.2%
Dash Punctuation	476	0.1%
Open Punctuation	227	0.1%
Close Punctuation	227	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	44456	12.1%
A	39682	10.8%
E	35603	9.7%
I	35076	9.5%
C	30251	8.2%
L	27929	7.6%
N	27079	7.4%
S	20312	5.5%
R	19504	5.3%
T	16541	4.5%
Other values (23)	71523	19.4%

Decimal Number

Value	Count	Frequency (%)
0	395	55.8%
2	182	25.7%
1	71	10.0%
7	32	4.5%
5	7	1.0%
3	7	1.0%
4	7	1.0%
8	7	1.0%

Other Punctuation

Value	Count	Frequency (%)
.	1056	85.0%
"	164	13.2%
¿	18	1.4%
&	5	0.4%

Space Separator

Value	Count	Frequency (%)
	47774	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	476	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	227	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	227	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	367956	87.9%
Common	50655	12.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	44456	12.1%
A	39682	10.8%
E	35603	9.7%
I	35076	9.5%
C	30251	8.2%
L	27929	7.6%
N	27079	7.4%
S	20312	5.5%
R	19504	5.3%
T	16541	4.5%
Other values (23)	71523	19.4%

Common

Value	Count	Frequency (%)
	47774	94.3%
.	1056	2.1%
-	476	0.9%
0	395	0.8%
(	227	0.4%
)	227	0.4%
2	182	0.4%
"	164	0.3%
1	71	0.1%
7	32	0.1%
Other values (6)	51	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	416294	99.4%
None	2317	0.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	47774	11.5%
O	44456	10.7%
A	39682	9.5%
E	35603	8.6%
I	35076	8.4%
C	30251	7.3%
L	27929	6.7%
N	27079	6.5%
S	20312	4.9%
R	19504	4.7%
Other values (31)	88628	21.3%

None

Value	Count	Frequency (%)
Ñ	650	28.1%
Ó	500	21.6%
É	326	14.1%
Í	284	12.3%
Ü	249	10.7%
Á	198	8.5%
Ú	92	4.0%
¿	18	0.8%

cole_genero
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

MIXTO	13933
FEMENINO	1025
MASCULINO	477

Length

Max length	9
Median length	5
Mean length	5.322837707
Min length	5

Characters and Unicode

Total characters	82158
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MIXTO
2nd row	MIXTO
3rd row	MIXTO
4th row	MIXTO
5th row	MIXTO

Common Values

Value	Count	Frequency (%)
MIXTO	13933	90.3%
FEMENINO	1025	6.6%
MASCULINO	477	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
mixto	13933	90.3%
femenino	1025	6.6%
masculino	477	3.1%

Most occurring characters

Value	Count	Frequency (%)
M	15435	18.8%
I	15435	18.8%
O	15435	18.8%
X	13933	17.0%
T	13933	17.0%
N	2527	3.1%
E	2050	2.5%
F	1025	1.2%
A	477	0.6%
S	477	0.6%
Other values (3)	1431	1.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	82158	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	15435	18.8%
I	15435	18.8%
O	15435	18.8%
X	13933	17.0%
T	13933	17.0%
N	2527	3.1%
E	2050	2.5%
F	1025	1.2%
A	477	0.6%
S	477	0.6%
Other values (3)	1431	1.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	82158	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	15435	18.8%
I	15435	18.8%
O	15435	18.8%
X	13933	17.0%
T	13933	17.0%
N	2527	3.1%
E	2050	2.5%
F	1025	1.2%
A	477	0.6%
S	477	0.6%
Other values (3)	1431	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	82158	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	15435	18.8%
I	15435	18.8%
O	15435	18.8%
X	13933	17.0%
T	13933	17.0%
N	2527	3.1%
E	2050	2.5%
F	1025	1.2%
A	477	0.6%
S	477	0.6%
Other values (3)	1431	1.7%

cole_naturaleza
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

NO OFICIAL	15217
OFICIAL	218

Length

Max length	10
Median length	10
Mean length	9.957628766
Min length	7

Characters and Unicode

Total characters	153696
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	OFICIAL
2nd row	NO OFICIAL
3rd row	NO OFICIAL
4th row	NO OFICIAL
5th row	NO OFICIAL

Common Values

Value	Count	Frequency (%)
NO OFICIAL	15217	98.6%
OFICIAL	218	1.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
oficial	15435	50.4%
no	15217	49.6%

Most occurring characters

Value	Count	Frequency (%)
I	30870	20.1%
O	30652	19.9%
F	15435	10.0%
C	15435	10.0%
A	15435	10.0%
L	15435	10.0%
N	15217	9.9%
	15217	9.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	138479	90.1%
Space Separator	15217	9.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	30870	22.3%
O	30652	22.1%
F	15435	11.1%
C	15435	11.1%
A	15435	11.1%
L	15435	11.1%
N	15217	11.0%

Space Separator

Value	Count	Frequency (%)
	15217	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	138479	90.1%
Common	15217	9.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	30870	22.3%
O	30652	22.1%
F	15435	11.1%
C	15435	11.1%
A	15435	11.1%
L	15435	11.1%
N	15217	11.0%

Common

Value	Count	Frequency (%)
	15217	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	153696	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	30870	20.1%
O	30652	19.9%
F	15435	10.0%
C	15435	10.0%
A	15435	10.0%
L	15435	10.0%
N	15217	9.9%
	15217	9.9%

cole_calendario
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

B	11865
A	3055
OTRO	515

Length

Max length	4
Median length	1
Mean length	1.100097182
Min length	1

Characters and Unicode

Total characters	16980
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A
2nd row	A
3rd row	OTRO
4th row	A
5th row	B

Common Values

Value	Count	Frequency (%)
B	11865	76.9%
A	3055	19.8%
OTRO	515	3.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
b	11865	76.9%
a	3055	19.8%
otro	515	3.3%

Most occurring characters

Value	Count	Frequency (%)
B	11865	69.9%
A	3055	18.0%
O	1030	6.1%
T	515	3.0%
R	515	3.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	16980	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	11865	69.9%
A	3055	18.0%
O	1030	6.1%
T	515	3.0%
R	515	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16980	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	11865	69.9%
A	3055	18.0%
O	1030	6.1%
T	515	3.0%
R	515	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16980	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	11865	69.9%
A	3055	18.0%
O	1030	6.1%
T	515	3.0%
R	515	3.0%

cole_bilingue
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	2615
Missing (%)	16.9%
Memory size	120.7 KiB

N	9769
S	3051

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12820
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	S
2nd row	S
3rd row	N
4th row	N
5th row	N

Common Values

Value	Count	Frequency (%)
N	9769	63.3%
S	3051	19.8%
(Missing)	2615	16.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
n	9769	76.2%
s	3051	23.8%

Most occurring characters

Value	Count	Frequency (%)
N	9769	76.2%
S	3051	23.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	12820	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	9769	76.2%
S	3051	23.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12820	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	9769	76.2%
S	3051	23.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12820	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	9769	76.2%
S	3051	23.8%

cole_caracter
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	928
Missing (%)	6.0%
Memory size	120.7 KiB

ACADÉMICO	11723
TÉCNICO	1607
TÉCNICO/ACADÉMICO	1099
NO APLICA	78

Length

Max length	17
Median length	9
Mean length	9.384504033
Min length	7

Characters and Unicode

Total characters	136141
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TÉCNICO/ACADÉMICO
2nd row	ACADÉMICO
3rd row	TÉCNICO/ACADÉMICO
4th row	ACADÉMICO
5th row	TÉCNICO/ACADÉMICO

Common Values

Value	Count	Frequency (%)
ACADÉMICO	11723	76.0%
TÉCNICO	1607	10.4%
TÉCNICO/ACADÉMICO	1099	7.1%
NO APLICA	78	0.5%
(Missing)	928	6.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
académico	11723	80.4%
técnico	1607	11.0%
técnico/académico	1099	7.5%
no	78	0.5%
aplica	78	0.5%

Most occurring characters

Value	Count	Frequency (%)
C	31134	22.9%
A	25800	19.0%
I	15606	11.5%
O	15606	11.5%
É	15528	11.4%
D	12822	9.4%
M	12822	9.4%
N	2784	2.0%
T	2706	2.0%
/	1099	0.8%
Other values (3)	234	0.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	134964	99.1%
Other Punctuation	1099	0.8%
Space Separator	78	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	31134	23.1%
A	25800	19.1%
I	15606	11.6%
O	15606	11.6%
É	15528	11.5%
D	12822	9.5%
M	12822	9.5%
N	2784	2.1%
T	2706	2.0%
P	78	0.1%

Other Punctuation

Value	Count	Frequency (%)
/	1099	100.0%

Space Separator

Value	Count	Frequency (%)
	78	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	134964	99.1%
Common	1177	0.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	31134	23.1%
A	25800	19.1%
I	15606	11.6%
O	15606	11.6%
É	15528	11.5%
D	12822	9.5%
M	12822	9.5%
N	2784	2.1%
T	2706	2.0%
P	78	0.1%

Common

Value	Count	Frequency (%)
/	1099	93.4%
	78	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	120613	88.6%
None	15528	11.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	31134	25.8%
A	25800	21.4%
I	15606	12.9%
O	15606	12.9%
D	12822	10.6%
M	12822	10.6%
N	2784	2.3%
T	2706	2.2%
/	1099	0.9%
	78	0.1%
Other values (2)	156	0.1%

None

Value	Count	Frequency (%)
É	15528	100.0%

cole_cod_dane_sede
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	606
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.49838538 × 10¹¹

Minimum	1.050450003 × 10¹¹
Maximum	6.252690001 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	1.050450003 × 10¹¹
5-th percentile	3.050450017 × 10¹¹
Q1	3.117690009 × 10¹¹
median	3.680010001 × 10¹¹
Q3	3.760010265 × 10¹¹
95-th percentile	4.251750323 × 10¹¹
Maximum	6.252690001 × 10¹¹
Range	5.202239998 × 10¹¹
Interquartile range (IQR)	6.42320256 × 10¹⁰

Descriptive statistics

Standard deviation	4.704428574 × 10¹⁰
Coefficient of variation (CV)	0.1344742807
Kurtosis	4.66561254
Mean	3.49838538 × 10¹¹
Median Absolute Deviation (MAD)	4.224699476 × 10¹⁰
Skewness	-0.4505372796
Sum	5.399757834 × 10¹⁵
Variance	2.213164821 × 10²¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.760010282 × 10¹¹	186	1.2%
3.760010077 × 10¹¹	149	1.0%
3.760010358 × 10¹¹	139	0.9%
3.760010011 × 10¹¹	130	0.8%
3.760010035 × 10¹¹	129	0.8%
3.760010003 × 10¹¹	118	0.8%
3.050010227 × 10¹¹	115	0.7%
3.760010269 × 10¹¹	109	0.7%
3.760010009 × 10¹¹	106	0.7%
3.760010003 × 10¹¹	106	0.7%
Other values (596)	14148	91.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.050450003 × 10¹¹	2	< 0.1%
1.152380009 × 10¹¹	15	0.1%
1.170010007 × 10¹¹	3	< 0.1%
1.173800001 × 10¹¹	10	0.1%
1.19001004 × 10¹¹	3	< 0.1%
1.207500004 × 10¹¹	29	0.2%
1.25513001 × 10¹¹	8	0.1%
1.255130011 × 10¹¹	18	0.1%
1.448550005 × 10¹¹	1	< 0.1%
1.500010027 × 10¹¹	14	0.1%

Value	Count	Frequency (%)
6.252690001 × 10¹¹	4	< 0.1%
5.19001 × 10¹¹	45	0.3%
4.768921001 × 10¹¹	7	< 0.1%
4.768920997 × 10¹¹	3	< 0.1%
4.768920997 × 10¹¹	16	0.1%
4.765200072 × 10¹¹	48	0.3%
4.765200063 × 10¹¹	18	0.1%
4.765200038 × 10¹¹	15	0.1%
4.76248001 × 10¹¹	7	< 0.1%
4.762480005 × 10¹¹	50	0.3%

cole_nombre_sede
Categorical

HIGH CARDINALITY

Distinct	599
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

COLEGIO COMFANDI EL PRADO	186
COLEGIO LEON DE GREIFF	149
COLEGIO MAYOR SAN FRANCISCO DE ASIS - SEDE PRINCIPAL	139
COLEGIO AMERICANO	130
COLEGIO SAN ANTONIO MARIA CLARET	129
Other values (594)	14702

Length

Max length	86
Median length	28
Mean length	30.73683188
Min length	7

Characters and Unicode

Total characters	474423
Distinct characters	60
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	0.2%

Sample

1st row	I.E. MANUEL RODRIGUEZ TORICES
2nd row	INSTITUTO DE EDUCACIÓN TECNICA INESUR - SEDE PRINCIPAL
3rd row	COORPORACION EDUCATIVA DEL SUR OCCIDENTE COLOMBIANO - SEDE PRINCIPAL
4th row	NUEVO INSTITUTO DE APRENDIZAJE SURCOLOMBIANO - SEDE PRINCIPAL
5th row	COL FUNDACION LIC INGLES

Common Values

Value	Count	Frequency (%)
COLEGIO COMFANDI EL PRADO	186	1.2%
COLEGIO LEON DE GREIFF	149	1.0%
COLEGIO MAYOR SAN FRANCISCO DE ASIS - SEDE PRINCIPAL	139	0.9%
COLEGIO AMERICANO	130	0.8%
COLEGIO SAN ANTONIO MARIA CLARET	129	0.8%
COL BERCHMANS	118	0.8%
POLITÉCNICO MAYOR AGENCIA CRISTIANA DE SERVICIO Y EDUCACIÓN	115	0.7%
COMFANDI MIRAFLORES	109	0.7%
COLEGIO PARROQIAL SANTIAGO APOSTOL	106	0.7%
COL PARROQ SAN JUAN BAUTISTA	106	0.7%
Other values (589)	14148	91.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
colegio	5985	8.2%
col	4360	6.0%
de	3883	5.3%
	3827	5.3%
sede	3645	5.0%
principal	3393	4.7%
san	1848	2.5%
la	1013	1.4%
los	889	1.2%
del	852	1.2%
Other values (842)	43073	59.2%

Most occurring characters

Value	Count	Frequency (%)
	58000	12.2%
O	44044	9.3%
A	42733	9.0%
E	41832	8.8%
I	41640	8.8%
C	33575	7.1%
L	31189	6.6%
N	30656	6.5%
S	23516	5.0%
R	22866	4.8%
Other values (50)	104372	22.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	410072	86.4%
Space Separator	58000	12.2%
Dash Punctuation	3889	0.8%
Other Punctuation	1311	0.3%
Decimal Number	708	0.1%
Open Punctuation	215	< 0.1%
Close Punctuation	215	< 0.1%
Lowercase Letter	13	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	44044	10.7%
A	42733	10.4%
E	41832	10.2%
I	41640	10.2%
C	33575	8.2%
L	31189	7.6%
N	30656	7.5%
S	23516	5.7%
R	22866	5.6%
T	16396	4.0%
Other values (23)	81625	19.9%

Lowercase Letter

Value	Count	Frequency (%)
e	2	15.4%
p	2	15.4%
i	2	15.4%
s	1	7.7%
d	1	7.7%
r	1	7.7%
n	1	7.7%
c	1	7.7%
a	1	7.7%
l	1	7.7%

Decimal Number

Value	Count	Frequency (%)
0	395	55.8%
2	182	25.7%
1	71	10.0%
7	32	4.5%
4	7	1.0%
8	7	1.0%
3	7	1.0%
5	7	1.0%

Other Punctuation

Value	Count	Frequency (%)
.	1064	81.2%
"	180	13.7%
,	32	2.4%
/	30	2.3%
&	5	0.4%

Space Separator

Value	Count	Frequency (%)
	58000	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3889	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	215	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	215	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	410085	86.4%
Common	64338	13.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	44044	10.7%
A	42733	10.4%
E	41832	10.2%
I	41640	10.2%
C	33575	8.2%
L	31189	7.6%
N	30656	7.5%
S	23516	5.7%
R	22866	5.6%
T	16396	4.0%
Other values (33)	81638	19.9%

Common

Value	Count	Frequency (%)
	58000	90.1%
-	3889	6.0%
.	1064	1.7%
0	395	0.6%
(	215	0.3%
)	215	0.3%
2	182	0.3%
"	180	0.3%
1	71	0.1%
,	32	< 0.1%
Other values (7)	95	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	472063	99.5%
None	2360	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	58000	12.3%
O	44044	9.3%
A	42733	9.1%
E	41832	8.9%
I	41640	8.8%
C	33575	7.1%
L	31189	6.6%
N	30656	6.5%
S	23516	5.0%
R	22866	4.8%
Other values (43)	102012	21.6%

None

Value	Count	Frequency (%)
Ñ	661	28.0%
Ó	573	24.3%
É	323	13.7%
Í	284	12.0%
Ü	231	9.8%
Á	196	8.3%
Ú	92	3.9%

cole_sede_principal
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

S	15426
N	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15435
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	S
2nd row	S
3rd row	S
4th row	S
5th row	S

Common Values

Value	Count	Frequency (%)
S	15426	99.9%
N	9	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
s	15426	99.9%
n	9	0.1%

Most occurring characters

Value	Count	Frequency (%)
S	15426	99.9%
N	9	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	15435	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	15426	99.9%
N	9	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15435	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	15426	99.9%
N	9	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15435	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	15426	99.9%
N	9	0.1%

cole_area_ubicacion
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

URBANO	13503
RURAL	1932

Length

Max length	6
Median length	6
Mean length	5.874829932
Min length	5

Characters and Unicode

Total characters	90678
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	URBANO
2nd row	URBANO
3rd row	URBANO
4th row	URBANO
5th row	RURAL

Common Values

Value	Count	Frequency (%)
URBANO	13503	87.5%
RURAL	1932	12.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
urbano	13503	87.5%
rural	1932	12.5%

Most occurring characters

Value	Count	Frequency (%)
R	17367	19.2%
U	15435	17.0%
A	15435	17.0%
B	13503	14.9%
N	13503	14.9%
O	13503	14.9%
L	1932	2.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	90678	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	17367	19.2%
U	15435	17.0%
A	15435	17.0%
B	13503	14.9%
N	13503	14.9%
O	13503	14.9%
L	1932	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	90678	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	17367	19.2%
U	15435	17.0%
A	15435	17.0%
B	13503	14.9%
N	13503	14.9%
O	13503	14.9%
L	1932	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	90678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	17367	19.2%
U	15435	17.0%
A	15435	17.0%
B	13503	14.9%
N	13503	14.9%
O	13503	14.9%
L	1932	2.1%

cole_jornada
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

COMPLETA	7727
MAÑANA	5041
SABATINA	1176
NOCHE	946
TARDE	350

Length

Max length	8
Median length	8
Mean length	7.057013282
Min length	5

Characters and Unicode

Total characters	108925
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NOCHE
2nd row	SABATINA
3rd row	MAÑANA
4th row	SABATINA
5th row	COMPLETA

Common Values

Value	Count	Frequency (%)
COMPLETA	7727	50.1%
MAÑANA	5041	32.7%
SABATINA	1176	7.6%
NOCHE	946	6.1%
TARDE	350	2.3%
UNICA	195	1.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
completa	7727	50.1%
mañana	5041	32.7%
sabatina	1176	7.6%
noche	946	6.1%
tarde	350	2.3%
unica	195	1.3%

Most occurring characters

Value	Count	Frequency (%)
A	26923	24.7%
M	12768	11.7%
T	9253	8.5%
E	9023	8.3%
C	8868	8.1%
O	8673	8.0%
P	7727	7.1%
L	7727	7.1%
N	7358	6.8%
Ñ	5041	4.6%
Other values (7)	5564	5.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	108925	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	26923	24.7%
M	12768	11.7%
T	9253	8.5%
E	9023	8.3%
C	8868	8.1%
O	8673	8.0%
P	7727	7.1%
L	7727	7.1%
N	7358	6.8%
Ñ	5041	4.6%
Other values (7)	5564	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	108925	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	26923	24.7%
M	12768	11.7%
T	9253	8.5%
E	9023	8.3%
C	8868	8.1%
O	8673	8.0%
P	7727	7.1%
L	7727	7.1%
N	7358	6.8%
Ñ	5041	4.6%
Other values (7)	5564	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	103884	95.4%
None	5041	4.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	26923	25.9%
M	12768	12.3%
T	9253	8.9%
E	9023	8.7%
C	8868	8.5%
O	8673	8.3%
P	7727	7.4%
L	7727	7.4%
N	7358	7.1%
I	1371	1.3%
Other values (6)	4193	4.0%

None

Value	Count	Frequency (%)
Ñ	5041	100.0%

cole_cod_mcpio_ubicacion
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	103
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44475.56482

Minimum	5001
Maximum	86320
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	5001
5-th percentile	8001
Q1	11001
median	52001
Q3	76001
95-th percentile	76520
Maximum	86320
Range	81319
Interquartile range (IQR)	65000

Descriptive statistics

Standard deviation	30386.87119
Coefficient of variation (CV)	0.683226201
Kurtosis	-1.863879746
Mean	44475.56482
Median Absolute Deviation (MAD)	24519
Skewness	-0.04998249833
Sum	686480343
Variance	923361940.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
76001	5082	32.9%
11001	3610	23.4%
19001	645	4.2%
76520	591	3.8%
52001	407	2.6%
5001	380	2.5%
25175	379	2.5%
8573	371	2.4%
76111	309	2.0%
66001	212	1.4%
Other values (93)	3449	22.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5001	380	2.5%
5045	16	0.1%
5266	155	1.0%
5360	9	0.1%
5376	10	0.1%
5380	82	0.5%
5607	27	0.2%
5631	32	0.2%
5697	4	< 0.1%
8001	190	1.2%

Value	Count	Frequency (%)
86320	1	< 0.1%
86001	43	0.3%
85001	8	0.1%
81001	11	0.1%
76892	182	1.2%
76622	21	0.1%
76563	31	0.2%
76520	591	3.8%
76364	102	0.7%
76275	1	< 0.1%

cole_mcpio_ubicacion
Categorical

HIGH CARDINALITY

Distinct	103
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

CALI	5082
BOGOTÁ D.C.	3610
POPAYÁN	645
PALMIRA	591
PASTO	407
Other values (98)	5100

Length

Max length	27
Median length	7
Mean length	7.71350826
Min length	4

Characters and Unicode

Total characters	119058
Distinct characters	32
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	SAN DIEGO
2nd row	IPIALES
3rd row	POPAYÁN
4th row	MOCOA
5th row	PEREIRA

Common Values

Value	Count	Frequency (%)
CALI	5082	32.9%
BOGOTÁ D.C.	3610	23.4%
POPAYÁN	645	4.2%
PALMIRA	591	3.8%
PASTO	407	2.6%
MEDELLÍN	380	2.5%
CHÍA	379	2.5%
PUERTO COLOMBIA	371	2.4%
GUADALAJARA DE BUGA	309	2.0%
PEREIRA	212	1.4%
Other values (93)	3449	22.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cali	5082	24.1%
d.c	3610	17.2%
bogotá	3610	17.2%
popayán	645	3.1%
palmira	591	2.8%
de	541	2.6%
puerto	433	2.1%
pasto	407	1.9%
medellín	380	1.8%
chía	379	1.8%
Other values (107)	5368	25.5%

Most occurring characters

Value	Count	Frequency (%)
A	16414	13.8%
C	11291	9.5%
O	10927	9.2%
L	9306	7.8%
I	8570	7.2%
.	7220	6.1%
D	5830	4.9%
T	5728	4.8%
	5611	4.7%
B	5013	4.2%
Other values (22)	33148	27.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	106227	89.2%
Other Punctuation	7220	6.1%
Space Separator	5611	4.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	16414	15.5%
C	11291	10.6%
O	10927	10.3%
L	9306	8.8%
I	8570	8.1%
D	5830	5.5%
T	5728	5.4%
B	5013	4.7%
G	4939	4.6%
Á	4462	4.2%
Other values (20)	23747	22.4%

Other Punctuation

Value	Count	Frequency (%)
.	7220	100.0%

Space Separator

Value	Count	Frequency (%)
	5611	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	106227	89.2%
Common	12831	10.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	16414	15.5%
C	11291	10.6%
O	10927	10.3%
L	9306	8.8%
I	8570	8.1%
D	5830	5.5%
T	5728	5.4%
B	5013	4.7%
G	4939	4.6%
Á	4462	4.2%
Other values (20)	23747	22.4%

Common

Value	Count	Frequency (%)
.	7220	56.3%
	5611	43.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	113339	95.2%
None	5719	4.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	16414	14.5%
C	11291	10.0%
O	10927	9.6%
L	9306	8.2%
I	8570	7.6%
.	7220	6.4%
D	5830	5.1%
T	5728	5.1%
	5611	5.0%
B	5013	4.4%
Other values (15)	27429	24.2%

None

Value	Count	Frequency (%)
Á	4462	78.0%
Í	1029	18.0%
Ú	110	1.9%
É	59	1.0%
Ó	35	0.6%
Ñ	15	0.3%
Ü	9	0.2%

cole_cod_depto_ubicacion
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.36689342

Minimum	5
Maximum	86
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	5
5-th percentile	8
Q1	11
median	52
Q3	76
95-th percentile	76
Maximum	86
Range	81
Interquartile range (IQR)	65

Descriptive statistics

Standard deviation	30.39155652
Coefficient of variation (CV)	0.6850052859
Kurtosis	-1.864627898
Mean	44.36689342
Median Absolute Deviation (MAD)	24
Skewness	-0.04894403935
Sum	684803
Variance	923.6467074
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
76	6539	42.4%
11	3610	23.4%
25	1061	6.9%
19	739	4.8%
5	715	4.6%
8	564	3.7%
52	486	3.1%
66	217	1.4%
13	198	1.3%
68	196	1.3%
Other values (15)	1110	7.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	715	4.6%
8	564	3.7%
11	3610	23.4%
13	198	1.3%
15	94	0.6%
17	158	1.0%
18	22	0.1%
19	739	4.8%
20	168	1.1%
23	43	0.3%

Value	Count	Frequency (%)
86	44	0.3%
85	8	0.1%
81	11	0.1%
76	6539	42.4%
73	76	0.5%
68	196	1.3%
66	217	1.4%
63	38	0.2%
54	132	0.9%
52	486	3.1%

cole_depto_ubicacion
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

VALLE	6539
BOGOTÁ	3610
CUNDINAMARCA	1061
CAUCA	739
ANTIOQUIA	715
Other values (20)	2771

Length

Max length	15
Median length	6
Mean length	6.367023
Min length	4

Characters and Unicode

Total characters	98275
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CESAR
2nd row	NARIÑO
3rd row	CAUCA
4th row	PUTUMAYO
5th row	RISARALDA

Common Values

Value	Count	Frequency (%)
VALLE	6539	42.4%
BOGOTÁ	3610	23.4%
CUNDINAMARCA	1061	6.9%
CAUCA	739	4.8%
ANTIOQUIA	715	4.6%
ATLANTICO	564	3.7%
NARIÑO	486	3.1%
RISARALDA	217	1.4%
BOLIVAR	198	1.3%
SANTANDER	196	1.3%
Other values (15)	1110	7.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
valle	6539	41.9%
bogotá	3610	23.1%
cundinamarca	1061	6.8%
cauca	739	4.7%
antioquia	715	4.6%
atlantico	564	3.6%
nariño	486	3.1%
santander	328	2.1%
risaralda	217	1.4%
bolivar	198	1.3%
Other values (16)	1151	7.4%

Most occurring characters

Value	Count	Frequency (%)
A	17241	17.5%
L	14478	14.7%
O	9653	9.8%
E	7405	7.5%
V	6737	6.9%
T	6184	6.3%
N	4800	4.9%
C	4668	4.7%
I	4216	4.3%
B	3945	4.0%
Other values (14)	18948	19.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	98102	99.8%
Space Separator	173	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	17241	17.6%
L	14478	14.8%
O	9653	9.8%
E	7405	7.5%
V	6737	6.9%
T	6184	6.3%
N	4800	4.9%
C	4668	4.8%
I	4216	4.3%
B	3945	4.0%
Other values (13)	18775	19.1%

Space Separator

Value	Count	Frequency (%)
	173	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	98102	99.8%
Common	173	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	17241	17.6%
L	14478	14.8%
O	9653	9.8%
E	7405	7.5%
V	6737	6.9%
T	6184	6.3%
N	4800	4.9%
C	4668	4.8%
I	4216	4.3%
B	3945	4.0%
Other values (13)	18775	19.1%

Common

Value	Count	Frequency (%)
	173	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94179	95.8%
None	4096	4.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	17241	18.3%
L	14478	15.4%
O	9653	10.2%
E	7405	7.9%
V	6737	7.2%
T	6184	6.6%
N	4800	5.1%
C	4668	5.0%
I	4216	4.5%
B	3945	4.2%
Other values (12)	14852	15.8%

None

Value	Count	Frequency (%)
Á	3610	88.1%
Ñ	486	11.9%

estu_privado_libertad
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

N	15433
S	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15435
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	N
2nd row	N
3rd row	N
4th row	N
5th row	N

Common Values

Value	Count	Frequency (%)
N	15433	> 99.9%
S	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
n	15433	> 99.9%
s	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	15433	> 99.9%
S	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	15435	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	15433	> 99.9%
S	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15435	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	15433	> 99.9%
S	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15435	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	15433	> 99.9%
S	2	< 0.1%

estu_cod_mcpio_presentacion
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	64
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43952.39572

Minimum	5001
Maximum	94001
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	5001
5-th percentile	8001
Q1	11001
median	52001
Q3	76001
95-th percentile	76520
Maximum	94001
Range	89000
Interquartile range (IQR)	65000

Descriptive statistics

Standard deviation	30814.76829
Coefficient of variation (CV)	0.7010941675
Kurtosis	-1.880995784
Mean	43952.39572
Median Absolute Deviation (MAD)	24519
Skewness	-0.03442289272
Sum	678405228
Variance	949549944.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
76001	5396	35.0%
11001	4059	26.3%
76520	720	4.7%
5001	695	4.5%
19001	649	4.2%
8001	568	3.7%
25899	426	2.8%
52001	420	2.7%
76111	309	2.0%
13001	199	1.3%
Other values (54)	1994	12.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5001	695	4.5%
5045	17	0.1%
5154	1	< 0.1%
5615	32	0.2%
8001	568	3.7%
11001	4059	26.3%
13001	199	1.3%
13430	1	< 0.1%
15001	28	0.2%
15407	5	< 0.1%

Value	Count	Frequency (%)
94001	2	< 0.1%
88001	6	< 0.1%
86320	1	< 0.1%
86001	43	0.3%
85001	20	0.1%
81794	1	< 0.1%
81001	12	0.1%
76834	3	< 0.1%
76622	21	0.1%
76520	720	4.7%

estu_mcpio_presentacion
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	64
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

CALI	5396
BOGOTÁ D.C.	4059
PALMIRA	720
MEDELLÍN	695
POPAYÁN	649
Other values (59)	3916

Length

Max length	22
Median length	7
Mean length	7.858309038
Min length	4

Characters and Unicode

Total characters	121293
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	< 0.1%

Sample

1st row	VALLEDUPAR
2nd row	IPIALES
3rd row	POPAYÁN
4th row	MOCOA
5th row	PEREIRA

Common Values

Value	Count	Frequency (%)
CALI	5396	35.0%
BOGOTÁ D.C.	4059	26.3%
PALMIRA	720	4.7%
MEDELLÍN	695	4.5%
POPAYÁN	649	4.2%
BARRANQUILLA	568	3.7%
ZIPAQUIRÁ	426	2.8%
PASTO	420	2.7%
GUADALAJARA DE BUGA	309	2.0%
CARTAGENA DE INDIAS	199	1.3%
Other values (54)	1994	12.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cali	5396	25.9%
d.c	4059	19.5%
bogotá	4059	19.5%
palmira	720	3.5%
medellín	695	3.3%
popayán	649	3.1%
de	587	2.8%
barranquilla	568	2.7%
zipaquirá	426	2.0%
pasto	420	2.0%
Other values (64)	3237	15.6%

Most occurring characters

Value	Count	Frequency (%)
A	16473	13.6%
C	10658	8.8%
O	10013	8.3%
L	9900	8.2%
I	9342	7.7%
.	8118	6.7%
D	6192	5.1%
T	5432	4.5%
G	5421	4.5%
	5381	4.4%
Other values (21)	34363	28.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	107794	88.9%
Other Punctuation	8118	6.7%
Space Separator	5381	4.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	16473	15.3%
C	10658	9.9%
O	10013	9.3%
L	9900	9.2%
I	9342	8.7%
D	6192	5.7%
T	5432	5.0%
G	5421	5.0%
Á	5252	4.9%
B	5210	4.8%
Other values (19)	23901	22.2%

Other Punctuation

Value	Count	Frequency (%)
.	8118	100.0%

Space Separator

Value	Count	Frequency (%)
	5381	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	107794	88.9%
Common	13499	11.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	16473	15.3%
C	10658	9.9%
O	10013	9.3%
L	9900	9.2%
I	9342	8.7%
D	6192	5.7%
T	5432	5.0%
G	5421	5.0%
Á	5252	4.9%
B	5210	4.8%
Other values (19)	23901	22.2%

Common

Value	Count	Frequency (%)
.	8118	60.1%
	5381	39.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	115050	94.9%
None	6243	5.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	16473	14.3%
C	10658	9.3%
O	10013	8.7%
L	9900	8.6%
I	9342	8.1%
.	8118	7.1%
D	6192	5.4%
T	5432	4.7%
G	5421	4.7%
	5381	4.7%
Other values (15)	28120	24.4%

None

Value	Count	Frequency (%)
Á	5252	84.1%
Í	784	12.6%
Ú	112	1.8%
É	62	1.0%
Ó	17	0.3%
Ñ	16	0.3%

estu_depto_presentacion
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	28
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

VALLE	6535
BOGOTÁ	4059
ANTIOQUIA	745
CAUCA	744
ATLANTICO	568
Other values (23)	2784

Length

Max length	15
Median length	6
Mean length	6.174991902
Min length	4

Characters and Unicode

Total characters	95311
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CESAR
2nd row	NARIÑO
3rd row	CAUCA
4th row	PUTUMAYO
5th row	RISARALDA

Common Values

Value	Count	Frequency (%)
VALLE	6535	42.3%
BOGOTÁ	4059	26.3%
ANTIOQUIA	745	4.8%
CAUCA	744	4.8%
ATLANTICO	568	3.7%
CUNDINAMARCA	552	3.6%
NARIÑO	495	3.2%
BOLIVAR	200	1.3%
RISARALDA	196	1.3%
SANTANDER	185	1.2%
Other values (18)	1156	7.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
valle	6535	41.9%
bogotá	4059	26.0%
antioquia	745	4.8%
cauca	744	4.8%
atlantico	568	3.6%
cundinamarca	552	3.5%
nariño	495	3.2%
santander	320	2.0%
bolivar	200	1.3%
risaralda	196	1.3%
Other values (20)	1200	7.7%

Most occurring characters

Value	Count	Frequency (%)
A	15811	16.6%
L	14454	15.2%
O	10602	11.1%
E	7423	7.8%
V	6735	7.1%
T	6656	7.0%
B	4404	4.6%
G	4179	4.4%
Á	4059	4.3%
N	3845	4.0%
Other values (14)	17143	18.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	95132	99.8%
Space Separator	179	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	15811	16.6%
L	14454	15.2%
O	10602	11.1%
E	7423	7.8%
V	6735	7.1%
T	6656	7.0%
B	4404	4.6%
G	4179	4.4%
Á	4059	4.3%
N	3845	4.0%
Other values (13)	16964	17.8%

Space Separator

Value	Count	Frequency (%)
	179	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	95132	99.8%
Common	179	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	15811	16.6%
L	14454	15.2%
O	10602	11.1%
E	7423	7.8%
V	6735	7.1%
T	6656	7.0%
B	4404	4.6%
G	4179	4.4%
Á	4059	4.3%
N	3845	4.0%
Other values (13)	16964	17.8%

Common

Value	Count	Frequency (%)
	179	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	90757	95.2%
None	4554	4.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	15811	17.4%
L	14454	15.9%
O	10602	11.7%
E	7423	8.2%
V	6735	7.4%
T	6656	7.3%
B	4404	4.9%
G	4179	4.6%
N	3845	4.2%
I	3762	4.1%
Other values (12)	12886	14.2%

None

Value	Count	Frequency (%)
Á	4059	89.1%
Ñ	495	10.9%

estu_cod_depto_presentacion
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	28
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.88014253

Minimum	5
Maximum	94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	5
5-th percentile	8
Q1	11
median	52
Q3	76
95-th percentile	76
Maximum	94
Range	89
Interquartile range (IQR)	65

Descriptive statistics

Standard deviation	30.80816997
Coefficient of variation (CV)	0.7020982201
Kurtosis	-1.88287182
Mean	43.88014253
Median Absolute Deviation (MAD)	24
Skewness	-0.03239557235
Sum	677290
Variance	949.143337
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
76	6535	42.3%
11	4059	26.3%
5	745	4.8%
19	744	4.8%
8	568	3.7%
25	552	3.6%
52	495	3.2%
13	200	1.3%
66	196	1.3%
68	185	1.2%
Other values (18)	1156	7.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	745	4.8%
8	568	3.7%
11	4059	26.3%
13	200	1.3%
15	98	0.6%
17	171	1.1%
18	29	0.2%
19	744	4.8%
20	169	1.1%
23	47	0.3%

Value	Count	Frequency (%)
94	2	< 0.1%
88	6	< 0.1%
86	44	0.3%
85	20	0.1%
81	13	0.1%
76	6535	42.3%
73	61	0.4%
70	2	< 0.1%
68	185	1.2%
66	196	1.3%

punt_lectura_critica
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	64
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	59.30249433

Minimum	0
Maximum	100
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	0
5-th percentile	38
Q1	52
median	61
Q3	68
95-th percentile	76
Maximum	100
Range	100
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	11.60175264
Coefficient of variation (CV)	0.1956368408
Kurtosis	0.1221324502
Mean	59.30249433
Median Absolute Deviation (MAD)	8
Skewness	-0.3014043696
Sum	915334
Variance	134.6006644
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	544	3.5%
61	540	3.5%
66	539	3.5%
63	531	3.4%
64	531	3.4%
65	528	3.4%
59	516	3.3%
62	506	3.3%
67	503	3.3%
60	490	3.2%
Other values (54)	10207	66.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	< 0.1%
22	3	< 0.1%
23	1	< 0.1%
24	2	< 0.1%
25	5	< 0.1%
26	9	0.1%
27	16	0.1%
28	15	0.1%
29	17	0.1%
30	33	0.2%

Value	Count	Frequency (%)
100	59	0.4%
83	3	< 0.1%
82	12	0.1%
81	61	0.4%
80	75	0.5%
79	116	0.8%
78	145	0.9%
77	193	1.3%
76	219	1.4%
75	243	1.6%

percentil_lectura_critica
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	100
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.27366375

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	25
median	50
Q3	75
95-th percentile	95
Maximum	100
Range	99
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	28.93168465
Coefficient of variation (CV)	0.5754839113
Kurtosis	-1.203875362
Mean	50.27366375
Median Absolute Deviation (MAD)	25
Skewness	0.007224072093
Sum	775974
Variance	837.0423769
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	163	1.1%
1	161	1.0%
10	159	1.0%
4	159	1.0%
7	159	1.0%
9	159	1.0%
6	158	1.0%
24	158	1.0%
2	158	1.0%
30	157	1.0%
Other values (90)	13844	89.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	161	1.0%
2	158	1.0%
3	163	1.1%
4	159	1.0%
5	157	1.0%
6	158	1.0%
7	159	1.0%
8	155	1.0%
9	159	1.0%
10	159	1.0%

Value	Count	Frequency (%)
100	152	1.0%
99	155	1.0%
98	153	1.0%
97	153	1.0%
96	153	1.0%
95	153	1.0%
94	154	1.0%
93	153	1.0%
92	153	1.0%
91	153	1.0%

desemp_lectura_critica
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

3	6853
4	5090
2	3054
1	438

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15435
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
3	6853	44.4%
4	5090	33.0%
2	3054	19.8%
1	438	2.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	6853	44.4%
4	5090	33.0%
2	3054	19.8%
1	438	2.8%

Most occurring characters

Value	Count	Frequency (%)
3	6853	44.4%
4	5090	33.0%
2	3054	19.8%
1	438	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15435	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	6853	44.4%
4	5090	33.0%
2	3054	19.8%
1	438	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	15435	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	6853	44.4%
4	5090	33.0%
2	3054	19.8%
1	438	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15435	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	6853	44.4%
4	5090	33.0%
2	3054	19.8%
1	438	2.8%

punt_matematicas
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	72
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	58.62274052

Minimum	0
Maximum	100
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	0
5-th percentile	34
Q1	50
median	60
Q3	68
95-th percentile	78
Maximum	100
Range	100
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	13.52450207
Coefficient of variation (CV)	0.2307040228
Kurtosis	0.1328777824
Mean	58.62274052
Median Absolute Deviation (MAD)	9
Skewness	-0.2361222519
Sum	904842
Variance	182.9121562
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
66	511	3.3%
68	483	3.1%
64	479	3.1%
69	469	3.0%
65	465	3.0%
67	460	3.0%
63	445	2.9%
57	431	2.8%
60	430	2.8%
71	429	2.8%
Other values (62)	10833	70.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	< 0.1%
15	1	< 0.1%
16	2	< 0.1%
17	5	< 0.1%
18	1	< 0.1%
19	5	< 0.1%
20	9	0.1%
21	13	0.1%
22	13	0.1%
23	20	0.1%

Value	Count	Frequency (%)
100	146	0.9%
84	14	0.1%
83	42	0.3%
82	53	0.3%
81	85	0.6%
80	122	0.8%
79	143	0.9%
78	179	1.2%
77	183	1.2%
76	246	1.6%

percentil_matematicas
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	100
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.25895692

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	25
median	50
Q3	75
95-th percentile	95
Maximum	100
Range	99
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	28.93834176
Coefficient of variation (CV)	0.5757847663
Kurtosis	-1.204921369
Mean	50.25895692
Median Absolute Deviation (MAD)	25
Skewness	0.007535512243
Sum	775747
Variance	837.427624
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	160	1.0%
3	160	1.0%
4	159	1.0%
1	159	1.0%
5	159	1.0%
7	159	1.0%
6	158	1.0%
11	158	1.0%
10	158	1.0%
19	157	1.0%
Other values (90)	13848	89.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	159	1.0%
2	160	1.0%
3	160	1.0%
4	159	1.0%
5	159	1.0%
6	158	1.0%
7	159	1.0%
8	156	1.0%
9	157	1.0%
10	158	1.0%

Value	Count	Frequency (%)
100	151	1.0%
99	155	1.0%
98	152	1.0%
97	154	1.0%
96	153	1.0%
95	154	1.0%
94	153	1.0%
93	151	1.0%
92	155	1.0%
91	155	1.0%

desemp_matematicas
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

3	8453
2	3149
4	2925
1	908

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15435
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
3	8453	54.8%
2	3149	20.4%
4	2925	19.0%
1	908	5.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	8453	54.8%
2	3149	20.4%
4	2925	19.0%
1	908	5.9%

Most occurring characters

Value	Count	Frequency (%)
3	8453	54.8%
2	3149	20.4%
4	2925	19.0%
1	908	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15435	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	8453	54.8%
2	3149	20.4%
4	2925	19.0%
1	908	5.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	15435	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	8453	54.8%
2	3149	20.4%
4	2925	19.0%
1	908	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15435	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	8453	54.8%
2	3149	20.4%
4	2925	19.0%
1	908	5.9%

punt_c_naturales
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	64
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	56.06524133

Minimum	0
Maximum	100
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	0
5-th percentile	35
Q1	47
median	57
Q3	65
95-th percentile	74
Maximum	100
Range	100
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	12.37377713
Coefficient of variation (CV)	0.2207031814
Kurtosis	-0.3503738956
Mean	56.06524133
Median Absolute Deviation (MAD)	9
Skewness	-0.1842151339
Sum	865367
Variance	153.1103604
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
63	492	3.2%
61	488	3.2%
58	480	3.1%
65	478	3.1%
60	470	3.0%
59	468	3.0%
57	461	3.0%
55	454	2.9%
64	443	2.9%
66	433	2.8%
Other values (54)	10768	69.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	< 0.1%
21	1	< 0.1%
22	3	< 0.1%
23	8	0.1%
24	9	0.1%
25	11	0.1%
26	22	0.1%
27	35	0.2%
28	31	0.2%
29	55	0.4%

Value	Count	Frequency (%)
100	39	0.3%
82	6	< 0.1%
81	36	0.2%
80	60	0.4%
79	69	0.4%
78	82	0.5%
77	123	0.8%
76	139	0.9%
75	182	1.2%
74	223	1.4%

percentil_c_naturales
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	100
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.30223518

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	25
median	50
Q3	75
95-th percentile	95
Maximum	100
Range	99
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	28.88912896
Coefficient of variation (CV)	0.5743110393
Kurtosis	-1.201499441
Mean	50.30223518
Median Absolute Deviation (MAD)	25
Skewness	0.008574975208
Sum	776415
Variance	834.5817722
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	159	1.0%
7	159	1.0%
10	159	1.0%
22	158	1.0%
3	158	1.0%
24	157	1.0%
25	157	1.0%
1	157	1.0%
42	157	1.0%
2	157	1.0%
Other values (90)	13857	89.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	157	1.0%
2	157	1.0%
3	158	1.0%
4	153	1.0%
5	159	1.0%
6	156	1.0%
7	159	1.0%
8	153	1.0%
9	156	1.0%
10	159	1.0%

Value	Count	Frequency (%)
100	152	1.0%
99	154	1.0%
98	153	1.0%
97	152	1.0%
96	153	1.0%
95	153	1.0%
94	154	1.0%
93	153	1.0%
92	155	1.0%
91	154	1.0%

desemp_c_naturales
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

3	6590
2	5034
1	1956
4	1855

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15435
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
3	6590	42.7%
2	5034	32.6%
1	1956	12.7%
4	1855	12.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	6590	42.7%
2	5034	32.6%
1	1956	12.7%
4	1855	12.0%

Most occurring characters

Value	Count	Frequency (%)
3	6590	42.7%
2	5034	32.6%
1	1956	12.7%
4	1855	12.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15435	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	6590	42.7%
2	5034	32.6%
1	1956	12.7%
4	1855	12.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15435	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	6590	42.7%
2	5034	32.6%
1	1956	12.7%
4	1855	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15435	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	6590	42.7%
2	5034	32.6%
1	1956	12.7%
4	1855	12.0%

punt_sociales_ciudadanas
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	68
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.22299968

Minimum	0
Maximum	100
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	0
5-th percentile	31
Q1	45
median	57
Q3	66
95-th percentile	76
Maximum	100
Range	100
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	13.79299194
Coefficient of variation (CV)	0.2497689734
Kurtosis	-0.5917944183
Mean	55.22299968
Median Absolute Deviation (MAD)	10
Skewness	-0.2151740598
Sum	852367
Variance	190.2466266
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
61	431	2.8%
58	422	2.7%
63	422	2.7%
60	418	2.7%
59	410	2.7%
62	397	2.6%
65	394	2.6%
68	392	2.5%
64	387	2.5%
66	387	2.5%
Other values (58)	11375	73.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	< 0.1%
18	4	< 0.1%
19	5	< 0.1%
20	5	< 0.1%
21	20	0.1%
22	17	0.1%
23	31	0.2%
24	39	0.3%
25	49	0.3%
26	61	0.4%

Value	Count	Frequency (%)
100	30	0.2%
83	25	0.2%
82	37	0.2%
81	60	0.4%
80	78	0.5%
79	93	0.6%
78	122	0.8%
77	163	1.1%
76	176	1.1%
75	220	1.4%

percentil_sociales_ciudadanas
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	100
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.29290573

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	25
median	50
Q3	75
95-th percentile	95
Maximum	100
Range	99
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	28.90306864
Coefficient of variation (CV)	0.5746947451
Kurtosis	-1.201760108
Mean	50.29290573
Median Absolute Deviation (MAD)	25
Skewness	0.00744225576
Sum	776271
Variance	835.3873768
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	164	1.1%
2	160	1.0%
5	160	1.0%
25	160	1.0%
32	158	1.0%
15	157	1.0%
40	157	1.0%
6	157	1.0%
21	157	1.0%
14	156	1.0%
Other values (90)	13849	89.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	164	1.1%
2	160	1.0%
3	155	1.0%
4	155	1.0%
5	160	1.0%
6	157	1.0%
7	155	1.0%
8	153	1.0%
9	156	1.0%
10	155	1.0%

Value	Count	Frequency (%)
100	153	1.0%
99	153	1.0%
98	153	1.0%
97	153	1.0%
96	153	1.0%
95	154	1.0%
94	153	1.0%
93	152	1.0%
92	153	1.0%
91	153	1.0%

desemp_sociales_ciudadanas
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

3	5888
2	4709
1	2636
4	2202

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15435
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
3	5888	38.1%
2	4709	30.5%
1	2636	17.1%
4	2202	14.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	5888	38.1%
2	4709	30.5%
1	2636	17.1%
4	2202	14.3%

Most occurring characters

Value	Count	Frequency (%)
3	5888	38.1%
2	4709	30.5%
1	2636	17.1%
4	2202	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15435	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	5888	38.1%
2	4709	30.5%
1	2636	17.1%
4	2202	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	15435	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	5888	38.1%
2	4709	30.5%
1	2636	17.1%
4	2202	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15435	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	5888	38.1%
2	4709	30.5%
1	2636	17.1%
4	2202	14.3%

punt_ingles
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	69
Distinct (%)	0.4%
Missing	36
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	64.94863303

Minimum	0
Maximum	100
Zeros	14
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	0
5-th percentile	34
Q1	52
median	67
Q3	78
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	17.86333866
Coefficient of variation (CV)	0.2750379465
Kurtosis	-0.502889619
Mean	64.94863303
Median Absolute Deviation (MAD)	13
Skewness	-0.1994844491
Sum	1000144
Variance	319.098868
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	854	5.5%
79	467	3.0%
78	461	3.0%
76	446	2.9%
77	442	2.9%
85	432	2.8%
81	424	2.7%
75	418	2.7%
80	408	2.6%
82	401	2.6%
Other values (59)	10646	69.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14	0.1%
21	3	< 0.1%
22	6	< 0.1%
23	18	0.1%
24	24	0.2%
25	30	0.2%
26	40	0.3%
27	44	0.3%
28	52	0.3%
29	74	0.5%

Value	Count	Frequency (%)
100	854	5.5%
87	45	0.3%
86	167	1.1%
85	432	2.8%
84	238	1.5%
83	355	2.3%
82	401	2.6%
81	424	2.7%
80	408	2.6%
79	467	3.0%

percentil_ingles
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	95
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.42759961

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	25
median	50
Q3	75
95-th percentile	100
Maximum	100
Range	99
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	29.17741178
Coefficient of variation (CV)	0.5786000525
Kurtosis	-1.172510904
Mean	50.42759961
Median Absolute Deviation (MAD)	25
Skewness	0.02842087687
Sum	778350
Variance	851.3213582
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	906	5.9%
1	191	1.2%
92	188	1.2%
94	169	1.1%
90	163	1.1%
8	159	1.0%
45	157	1.0%
2	156	1.0%
10	156	1.0%
17	156	1.0%
Other values (85)	13034	84.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	191	1.2%
2	156	1.0%
3	155	1.0%
4	155	1.0%
5	154	1.0%
6	154	1.0%
7	155	1.0%
8	159	1.0%
9	156	1.0%
10	156	1.0%

Value	Count	Frequency (%)
100	906	5.9%
94	169	1.1%
93	108	0.7%
92	188	1.2%
91	156	1.0%
90	163	1.1%
89	152	1.0%
88	155	1.0%
87	153	1.0%
86	153	1.0%

desemp_ingles
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

B1	3823
B+	3791
A-	3052
A2	2524
A1	2245

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	30870
Distinct characters	6
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A-
2nd row	A-
3rd row	A-
4th row	A-
5th row	B+

Common Values

Value	Count	Frequency (%)
B1	3823	24.8%
B+	3791	24.6%
A-	3052	19.8%
A2	2524	16.4%
A1	2245	14.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
b1	3823	24.8%
b	3791	24.6%
a	3052	19.8%
a2	2524	16.4%
a1	2245	14.5%

Most occurring characters

Value	Count	Frequency (%)
A	7821	25.3%
B	7614	24.7%
1	6068	19.7%
+	3791	12.3%
-	3052	9.9%
2	2524	8.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	15435	50.0%
Decimal Number	8592	27.8%
Math Symbol	3791	12.3%
Dash Punctuation	3052	9.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	7821	50.7%
B	7614	49.3%

Decimal Number

Value	Count	Frequency (%)
1	6068	70.6%
2	2524	29.4%

Math Symbol

Value	Count	Frequency (%)
+	3791	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3052	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15435	50.0%
Common	15435	50.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	6068	39.3%
+	3791	24.6%
-	3052	19.8%
2	2524	16.4%

Latin

Value	Count	Frequency (%)
A	7821	50.7%
B	7614	49.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30870	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	7821	25.3%
B	7614	24.7%
1	6068	19.7%
+	3791	12.3%
-	3052	9.9%
2	2524	8.2%

punt_global
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	328
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	289.4343375

Minimum	0
Maximum	479
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	0
5-th percentile	183
Q1	245
median	295
Q3	336
95-th percentile	377.3
Maximum	479
Range	479
Interquartile range (IQR)	91

Descriptive statistics

Standard deviation	60.29918507
Coefficient of variation (CV)	0.2083345935
Kurtosis	-0.5756648312
Mean	289.4343375
Median Absolute Deviation (MAD)	45
Skewness	-0.2563734515
Sum	4467419
Variance	3635.99172
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
317	125	0.8%
322	122	0.8%
338	121	0.8%
320	121	0.8%
312	118	0.8%
325	118	0.8%
340	117	0.8%
328	116	0.8%
333	116	0.8%
313	116	0.8%
Other values (318)	14245	92.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
14	1	< 0.1%
69	1	< 0.1%
91	1	< 0.1%
93	1	< 0.1%
121	1	< 0.1%
123	2	< 0.1%
132	1	< 0.1%
133	5	< 0.1%
134	1	< 0.1%

Value	Count	Frequency (%)
479	1	< 0.1%
475	1	< 0.1%
472	1	< 0.1%
471	1	< 0.1%
468	1	< 0.1%
457	1	< 0.1%
455	1	< 0.1%
454	2	< 0.1%
450	2	< 0.1%
449	2	< 0.1%

percentil_global
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	100
Distinct (%)	0.6%
Missing	36
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	50.26923826

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	120.7 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	25
median	50
Q3	75
95-th percentile	95
Maximum	100
Range	99
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	28.88615423
Coefficient of variation (CV)	0.5746288432
Kurtosis	-1.20221751
Mean	50.26923826
Median Absolute Deviation (MAD)	25
Skewness	0.007336475248
Sum	774096
Variance	834.4099064
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64	186	1.2%
42	184	1.2%
72	184	1.2%
23	178	1.2%
84	177	1.1%
57	177	1.1%
25	173	1.1%
93	171	1.1%
17	170	1.1%
46	167	1.1%
Other values (90)	13632	88.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	158	1.0%
2	160	1.0%
3	159	1.0%
4	150	1.0%
5	164	1.1%
6	150	1.0%
7	154	1.0%
8	167	1.1%
9	153	1.0%
10	161	1.0%

Value	Count	Frequency (%)
100	149	1.0%
99	147	1.0%
98	153	1.0%
97	156	1.0%
96	135	0.9%
95	165	1.1%
94	137	0.9%
93	171	1.1%
92	158	1.0%
91	146	0.9%

estu_estadoinvestigacion
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

PUBLICAR	15219
VALIDEZ OFICINA JURÍDICA	216

Length

Max length	24
Median length	8
Mean length	8.223906706
Min length	8

Characters and Unicode

Total characters	126936
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	VALIDEZ OFICINA JURÍDICA
2nd row	PUBLICAR
3rd row	PUBLICAR
4th row	PUBLICAR
5th row	PUBLICAR

Common Values

Value	Count	Frequency (%)
PUBLICAR	15219	98.6%
VALIDEZ OFICINA JURÍDICA	216	1.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
publicar	15219	95.9%
validez	216	1.4%
oficina	216	1.4%
jurídica	216	1.4%

Most occurring characters

Value	Count	Frequency (%)
I	16083	12.7%
A	15867	12.5%
C	15651	12.3%
U	15435	12.2%
L	15435	12.2%
R	15435	12.2%
P	15219	12.0%
B	15219	12.0%
	432	0.3%
D	432	0.3%
Other values (8)	1728	1.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	126504	99.7%
Space Separator	432	0.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	16083	12.7%
A	15867	12.5%
C	15651	12.4%
U	15435	12.2%
L	15435	12.2%
R	15435	12.2%
P	15219	12.0%
B	15219	12.0%
D	432	0.3%
E	216	0.2%
Other values (7)	1512	1.2%

Space Separator

Value	Count	Frequency (%)
	432	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	126504	99.7%
Common	432	0.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	16083	12.7%
A	15867	12.5%
C	15651	12.4%
U	15435	12.2%
L	15435	12.2%
R	15435	12.2%
P	15219	12.0%
B	15219	12.0%
D	432	0.3%
E	216	0.2%
Other values (7)	1512	1.2%

Common

Value	Count	Frequency (%)
	432	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	126720	99.8%
None	216	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	16083	12.7%
A	15867	12.5%
C	15651	12.4%
U	15435	12.2%
L	15435	12.2%
R	15435	12.2%
P	15219	12.0%
B	15219	12.0%
	432	0.3%
D	432	0.3%
Other values (7)	1512	1.2%

None

Value	Count	Frequency (%)
Í	216	100.0%

estu_generacion_e
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	120.7 KiB

NO	13389
GENERACION E - GRATUIDAD	1927
GENERACION E - EXCELENCIA NACIONAL	117
GENERACION E - EXCELENCIA DEPARTAMENTAL	2

Length

Max length	39
Median length	2
Mean length	4.993974733
Min length	2

Characters and Unicode

Total characters	77082
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	GENERACION E - GRATUIDAD
2nd row	GENERACION E - GRATUIDAD
3rd row	GENERACION E - GRATUIDAD
4th row	NO
5th row	NO

Common Values

Value	Count	Frequency (%)
NO	13389	86.7%
GENERACION E - GRATUIDAD	1927	12.5%
GENERACION E - EXCELENCIA NACIONAL	117	0.8%
GENERACION E - EXCELENCIA DEPARTAMENTAL	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	13389	61.7%
generacion	2046	9.4%
e	2046	9.4%
	2046	9.4%
gratuidad	1927	8.9%
excelencia	119	0.5%
nacional	117	0.5%
departamental	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	17836	23.1%
O	15552	20.2%
E	6499	8.4%
A	6259	8.1%
	6257	8.1%
I	4209	5.5%
R	3975	5.2%
G	3973	5.2%
D	3856	5.0%
C	2401	3.1%
Other values (7)	6265	8.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	68779	89.2%
Space Separator	6257	8.1%
Dash Punctuation	2046	2.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	17836	25.9%
O	15552	22.6%
E	6499	9.4%
A	6259	9.1%
I	4209	6.1%
R	3975	5.8%
G	3973	5.8%
D	3856	5.6%
C	2401	3.5%
T	1931	2.8%
Other values (5)	2288	3.3%

Space Separator

Value	Count	Frequency (%)
	6257	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2046	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	68779	89.2%
Common	8303	10.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	17836	25.9%
O	15552	22.6%
E	6499	9.4%
A	6259	9.1%
I	4209	6.1%
R	3975	5.8%
G	3973	5.8%
D	3856	5.6%
C	2401	3.5%
T	1931	2.8%
Other values (5)	2288	3.3%

Common

Value	Count	Frequency (%)
	6257	75.4%
-	2046	24.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77082	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	17836	23.1%
O	15552	20.2%
E	6499	8.4%
A	6259	8.1%
	6257	8.1%
I	4209	5.5%
R	3975	5.2%
G	3973	5.2%
D	3856	5.0%
C	2401	3.1%
Other values (7)	6265	8.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	estu_tipodocumento	estu_nacionalidad	estu_genero	estu_fechanacimiento	periodo	estu_consecutivo	estu_estudiante	estu_pais_reside	estu_tieneetnia	estu_depto_reside	estu_cod_reside_depto	estu_mcpio_reside	estu_cod_reside_mcpio	fami_estratovivienda	fami_personashogar	fami_cuartoshogar	fami_educacionpadre	fami_educacionmadre	fami_trabajolaborpadre	fami_trabajolabormadre	fami_tieneinternet	fami_tieneserviciotv	fami_tienecomputador	fami_tienelavadora	fami_tienehornomicroogas	fami_tieneautomovil	fami_tienemotocicleta	fami_tieneconsolavideojuegos	fami_numlibros	fami_comelechederivados	fami_comecarnepescadohuevo	fami_comecerealfrutoslegumbre	fami_situacioneconomica	estu_dedicacionlecturadiaria	estu_dedicacioninternet	estu_horassemanatrabaja	estu_tiporemuneracion	cole_codigo_icfes	cole_cod_dane_establecimiento	cole_nombre_establecimiento	cole_genero	cole_naturaleza	cole_calendario	cole_bilingue	cole_caracter	cole_cod_dane_sede	cole_nombre_sede	cole_sede_principal	cole_area_ubicacion	cole_jornada	cole_cod_mcpio_ubicacion	cole_mcpio_ubicacion	cole_cod_depto_ubicacion	cole_depto_ubicacion	estu_privado_libertad	estu_cod_mcpio_presentacion	estu_mcpio_presentacion	estu_depto_presentacion	estu_cod_depto_presentacion	punt_lectura_critica	percentil_lectura_critica	desemp_lectura_critica	punt_matematicas	percentil_matematicas	desemp_matematicas	punt_c_naturales	percentil_c_naturales	desemp_c_naturales	punt_sociales_ciudadanas	percentil_sociales_ciudadanas	desemp_sociales_ciudadanas	punt_ingles	percentil_ingles	desemp_ingles	punt_global	percentil_global	estu_estadoinvestigacion	estu_generacion_e
0	CC	COLOMBIA	F	1985-01-01T00:00:00.000	20201	SB11202010045555	ESTUDIANTE	COLOMBIA	No	CESAR	20.0	SAN DIEGO	20750.0	Estrato 1	5 a 6	Uno	Primaria incompleta	Primaria incompleta	Trabaja en el hogar, no trabaja o estudia	Trabaja por cuenta propia (por ejemplo plomero, electricista)	No	No	No	No	No	No	No	No	0 A 10 LIBROS	1 o 2 veces por semana	1 o 2 veces por semana	Todos o casi todos los días	Mejor	No leo por entretenimiento	No Navega Internet	Más de 30 horas	Si, en efectivo	57372	120750000415	I.E. MANUEL RODRIGUEZ TORICES	MIXTO	OFICIAL	A	S	TÉCNICO/ACADÉMICO	120750000415	I.E. MANUEL RODRIGUEZ TORICES	S	URBANO	NOCHE	20750	SAN DIEGO	20	CESAR	N	20001	VALLEDUPAR	CESAR	20	39	6	2	32	4	1	35	6	1	24	1	1	36.0	7	A-	164	2.0	VALIDEZ OFICINA JURÍDICA	GENERACION E - GRATUIDAD
1	CC	COLOMBIA	F	1995-01-01T00:00:00.000	20201	SB11202010045719	ESTUDIANTE	COLOMBIA	No	NARIÑO	52.0	IPIALES	52356.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	177618	352356001951	INSTITUTO DE EDUCACIÓN TECNICA INESUR	MIXTO	NO OFICIAL	A	NaN	NaN	352356001951	INSTITUTO DE EDUCACIÓN TECNICA INESUR - SEDE PRINCIPAL	S	URBANO	SABATINA	52356	IPIALES	52	NARIÑO	N	52356	IPIALES	NARIÑO	52	41	7	2	41	12	2	39	10	1	44	23	2	30.0	3	A-	202	10.0	PUBLICAR	GENERACION E - GRATUIDAD
2	CC	COLOMBIA	F	1997-01-01T00:00:00.000	20201	SB11202010070662	ESTUDIANTE	COLOMBIA	Si	CAUCA	19.0	TOTORÓ	19824.0	Estrato 1	3 a 4	Cuatro	Secundaria (Bachillerato) incompleta	Secundaria (Bachillerato) incompleta	Trabaja en el hogar, no trabaja o estudia	Trabaja en el hogar, no trabaja o estudia	No	No	No	No	No	No	No	No	0 A 10 LIBROS	1 o 2 veces por semana	NaN	NaN	Igual	30 minutos o menos	No Navega Internet	Entre 11 y 20 horas	Si, en efectivo	135301	319001004669	COORPORACION EDUCATIVA DEL SUR OCCIDENTE COLOMBIANO	MIXTO	NO OFICIAL	OTRO	NaN	ACADÉMICO	319001004669	COORPORACION EDUCATIVA DEL SUR OCCIDENTE COLOMBIANO - SEDE PRINCIPAL	S	URBANO	MAÑANA	19001	POPAYÁN	19	CAUCA	N	19001	POPAYÁN	CAUCA	19	37	4	2	36	7	2	33	4	1	24	1	1	30.0	3	A-	162	2.0	PUBLICAR	GENERACION E - GRATUIDAD
3	CC	COLOMBIA	F	2001-01-01T00:00:00.000	20201	SB11202010069926	ESTUDIANTE	COLOMBIA	No	PUTUMAYO	86.0	MOCOA	86001.0	Estrato 1	1 a 2	Uno	Técnica o tecnológica completa	Educación profesional completa	Es dueño de un negocio grande, tiene un cargo de nivel directivo o gerencial	Trabaja como profesional (por ejemplo médico, abogado, ingeniero)	Si	No	Si	Si	No	No	Si	No	11 A 25 LIBROS	1 o 2 veces por semana	3 a 5 veces por semana	1 o 2 veces por semana	Igual	30 minutos o menos	Entre 1 y 3 horas	Entre 11 y 20 horas	Si, en efectivo	155739	386001003939	NUEVO INSTITUTO DE APRENDIZAJE SURCOLOMBIANO	MIXTO	NO OFICIAL	A	NaN	TÉCNICO/ACADÉMICO	386001003939	NUEVO INSTITUTO DE APRENDIZAJE SURCOLOMBIANO - SEDE PRINCIPAL	S	URBANO	SABATINA	86001	MOCOA	86	PUTUMAYO	N	86001	MOCOA	PUTUMAYO	86	38	5	2	42	13	2	38	10	1	33	7	1	37.0	8	A-	188	6.0	PUBLICAR	NO
4	CC	COLOMBIA	F	2001-02-01T00:00:00.000	20201	SB11202010023181	ESTUDIANTE	COLOMBIA	No	RISARALDA	66.0	PEREIRA	66001.0	Estrato 6	3 a 4	Cuatro	Educación profesional completa	Secundaria (Bachillerato) completa	Trabaja como profesional (por ejemplo médico, abogado, ingeniero)	Trabaja en el hogar, no trabaja o estudia	Si	Si	Si	Si	Si	Si	No	No	26 A 100 LIBROS	Todos o casi todos los días	Todos o casi todos los días	3 a 5 veces por semana	Igual	No leo por entretenimiento	Más de 3 horas	0	No	77776	366001003814	COL FUNDACION LIC INGLES	MIXTO	NO OFICIAL	B	S	ACADÉMICO	366001003814	COL FUNDACION LIC INGLES	S	RURAL	COMPLETA	66001	PEREIRA	66	RISARALDA	N	66001	PEREIRA	RISARALDA	66	58	42	3	50	25	2	50	32	2	53	42	2	80.0	80	B+	274	39.0	PUBLICAR	NO
5	CC	COLOMBIA	F	2001-02-01T00:00:00.000	20201	SB11202010057992	ESTUDIANTE	COLOMBIA	No	ANTIOQUIA	5.0	MACEO	5425.0	Estrato 1	7 a 8	Cuatro	Primaria completa	Primaria incompleta	Trabaja como personal de limpieza, mantenimiento, seguridad o construcción	Trabaja en el hogar, no trabaja o estudia	Si	No	Si	Si	Si	No	No	No	0 A 10 LIBROS	1 o 2 veces por semana	3 a 5 veces por semana	1 o 2 veces por semana	Peor	Entre 30 y 60 minutos	Más de 3 horas	0	No	662858	305001022461	COL GENTE UNIDA JOVENES POR LA PAZ - LUZ DE ORIENTE	MIXTO	NO OFICIAL	A	NaN	TÉCNICO/ACADÉMICO	305001022461	COL GENTE UNIDA JOVENES POR LA PAZ - LUZ DE ORIENTE	S	URBANO	SABATINA	5001	MEDELLÍN	5	ANTIOQUIA	N	5001	MEDELLÍN	ANTIOQUIA	5	48	18	2	44	16	2	44	20	2	26	2	1	29.0	2	A-	198	9.0	PUBLICAR	GENERACION E - GRATUIDAD
6	CC	COLOMBIA	F	2001-03-01T00:00:00.000	20201	SB11202010074718	ESTUDIANTE	COLOMBIA	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	177618	352356001951	INSTITUTO DE EDUCACIÓN TECNICA INESUR	MIXTO	NO OFICIAL	A	NaN	NaN	352356001951	INSTITUTO DE EDUCACIÓN TECNICA INESUR - SEDE PRINCIPAL	S	URBANO	SABATINA	52356	IPIALES	52	NARIÑO	N	52356	IPIALES	NARIÑO	52	32	2	1	39	10	2	27	1	1	29	3	1	36.0	7	A-	160	2.0	PUBLICAR	GENERACION E - GRATUIDAD
7	CC	COLOMBIA	F	1982-04-01T00:00:00.000	20201	SB11202010070513	ESTUDIANTE	COLOMBIA	No	ANTIOQUIA	5.0	MEDELLÍN	5001.0	Estrato 1	3 a 4	Dos	Ninguno	Primaria incompleta	Trabaja en el hogar, no trabaja o estudia	NaN	No	No	No	No	No	No	No	No	0 A 10 LIBROS	1 o 2 veces por semana	Nunca o rara vez comemos eso	Nunca o rara vez comemos eso	Igual	30 minutos o menos	No Navega Internet	Más de 30 horas	Si, en efectivo	95869	305001022682	POLITÉCNICO MAYOR AGENCIA CRISTIANA DE SERVICIO Y EDUCACIÓN	MIXTO	NO OFICIAL	OTRO	N	ACADÉMICO	305001022682	POLITÉCNICO MAYOR AGENCIA CRISTIANA DE SERVICIO Y EDUCACIÓN	S	URBANO	MAÑANA	5001	MEDELLÍN	5	ANTIOQUIA	N	5001	MEDELLÍN	ANTIOQUIA	5	45	13	2	36	7	2	44	20	2	41	18	2	39.0	10	A-	207	11.0	PUBLICAR	GENERACION E - GRATUIDAD
8	CC	COLOMBIA	F	1989-04-01T00:00:00.000	20201	SB11202010067334	ESTUDIANTE	COLOMBIA	No	BOGOTÁ	11.0	BOGOTÁ D.C.	11001.0	Estrato 5	5 a 6	Tres	Ninguno	Primaria incompleta	Trabaja en el hogar, no trabaja o estudia	Trabaja en el hogar, no trabaja o estudia	Si	No	Si	Si	No	No	No	No	26 A 100 LIBROS	3 a 5 veces por semana	1 o 2 veces por semana	Todos o casi todos los días	Peor	Entre 30 y 60 minutos	Entre 30 y 60 minutos	Más de 30 horas	Si, en efectivo	88575	311001047723	COL CENT DE PROMOCION SAN JOSE	MIXTO	NO OFICIAL	A	N	ACADÉMICO	311001047723	COL CENT DE PROMOCION SAN JOSE	S	URBANO	SABATINA	11001	BOGOTÁ D.C.	11	BOGOTÁ	N	11001	BOGOTÁ D.C.	BOGOTÁ	11	35	3	1	29	2	1	28	1	1	39	15	1	29.0	2	A-	162	2.0	PUBLICAR	NO
9	CC	COLOMBIA	F	1999-04-01T00:00:00.000	20201	SB11202010069900	ESTUDIANTE	COLOMBIA	No	META	50.0	ACACÍAS	50006.0	Estrato 2	5 a 6	Tres	Ninguno	Primaria incompleta	Es vendedor o trabaja en atención al público	Trabaja en el hogar, no trabaja o estudia	Si	Si	Si	Si	Si	No	No	No	0 A 10 LIBROS	1 o 2 veces por semana	3 a 5 veces por semana	Todos o casi todos los días	Igual	30 minutos o menos	Más de 3 horas	Entre 21 y 30 horas	Si, en efectivo	127944	350001006933	GIMNASIO INTERACTIVO KAIZEN	MIXTO	NO OFICIAL	A	NaN	ACADÉMICO	350001006933	GIMNASIO INTERACTIVO KAIZEN - SEDE PRINCIPAL	S	URBANO	SABATINA	50001	VILLAVICENCIO	50	META	N	50001	VILLAVICENCIO	META	50	53	29	3	32	4	1	42	15	2	45	25	2	33.0	5	A-	211	13.0	PUBLICAR	NO

Last rows

	estu_tipodocumento	estu_nacionalidad	estu_genero	estu_fechanacimiento	periodo	estu_consecutivo	estu_estudiante	estu_pais_reside	estu_tieneetnia	estu_depto_reside	estu_cod_reside_depto	estu_mcpio_reside	estu_cod_reside_mcpio	fami_estratovivienda	fami_personashogar	fami_cuartoshogar	fami_educacionpadre	fami_educacionmadre	fami_trabajolaborpadre	fami_trabajolabormadre	fami_tieneinternet	fami_tieneserviciotv	fami_tienecomputador	fami_tienelavadora	fami_tienehornomicroogas	fami_tieneautomovil	fami_tienemotocicleta	fami_tieneconsolavideojuegos	fami_numlibros	fami_comelechederivados	fami_comecarnepescadohuevo	fami_comecerealfrutoslegumbre	fami_situacioneconomica	estu_dedicacionlecturadiaria	estu_dedicacioninternet	estu_horassemanatrabaja	estu_tiporemuneracion	cole_codigo_icfes	cole_cod_dane_establecimiento	cole_nombre_establecimiento	cole_genero	cole_naturaleza	cole_calendario	cole_bilingue	cole_caracter	cole_cod_dane_sede	cole_nombre_sede	cole_sede_principal	cole_area_ubicacion	cole_jornada	cole_cod_mcpio_ubicacion	cole_mcpio_ubicacion	cole_cod_depto_ubicacion	cole_depto_ubicacion	estu_privado_libertad	estu_cod_mcpio_presentacion	estu_mcpio_presentacion	estu_depto_presentacion	estu_cod_depto_presentacion	punt_lectura_critica	percentil_lectura_critica	desemp_lectura_critica	punt_matematicas	percentil_matematicas	desemp_matematicas	punt_c_naturales	percentil_c_naturales	desemp_c_naturales	punt_sociales_ciudadanas	percentil_sociales_ciudadanas	desemp_sociales_ciudadanas	punt_ingles	percentil_ingles	desemp_ingles	punt_global	percentil_global	estu_estadoinvestigacion	estu_generacion_e
15425	TI	ESTADOS UNIDOS	M	2002-07-24T00:00:00.000	20201	SB11202010048235	ESTUDIANTE	ESTADOS UNIDOS	No	VALLE	76.0	CALI	76001.0	Estrato 3	3 a 4	Tres	No sabe	Educación profesional completa	No sabe	Pensionado	Si	Si	Si	Si	Si	Si	No	Si	11 A 25 LIBROS	3 a 5 veces por semana	1 o 2 veces por semana	1 o 2 veces por semana	Igual	30 minutos o menos	Entre 30 y 60 minutos	0	No	100552	376001012789	COL TECNICO MARIA ELVINIA	MIXTO	NO OFICIAL	B	N	TÉCNICO	376001012789	COL TECNICO MARIA ELVINIA	S	URBANO	MAÑANA	76001	CALI	76	VALLE	N	76001	CALI	VALLE	76	55	34	3	53	33	3	51	35	2	45	26	2	56.0	32	A1	257	30.0	PUBLICAR	NO
15426	TI	ESTADOS UNIDOS	M	0003-09-24T00:00:00.000	20201	SB11202010003574	ESTUDIANTE	ESTADOS UNIDOS	No	VALLE	76.0	CALI	76001.0	Estrato 4	1 a 2	Dos	Secundaria (Bachillerato) completa	Técnica o tecnológica incompleta	Es dueño de un negocio pequeño (tiene pocos empleados o no tiene, por ejemplo tienda, papelería, etc	Es vendedor o trabaja en atención al público	Si	Si	Si	Si	Si	Si	No	No	26 A 100 LIBROS	3 a 5 veces por semana	3 a 5 veces por semana	1 o 2 veces por semana	Peor	Entre 30 y 60 minutos	Entre 1 y 3 horas	0	No	17004	376001002376	COLEGIO HISPANOAMERICANO	MIXTO	NO OFICIAL	B	N	ACADÉMICO	376001002376	COLEGIO HISPANOAMERICANO	S	URBANO	COMPLETA	76001	CALI	76	VALLE	N	76001	CALI	VALLE	76	76	95	4	78	96	4	76	97	4	68	80	3	77.0	72	B1	373	94.0	PUBLICAR	NO
15427	TI	ESTADOS UNIDOS	M	2003-04-28T00:00:00.000	20201	SB11202010003591	ESTUDIANTE	ESTADOS UNIDOS	No	ANTIOQUIA	5.0	ENVIGADO	5266.0	Estrato 5	5 a 6	Cinco	Educación profesional completa	Educación profesional completa	Es dueño de un negocio pequeño (tiene pocos empleados o no tiene, por ejemplo tienda, papelería, etc	Trabaja en el hogar, no trabaja o estudia	Si	Si	Si	Si	Si	Si	No	Si	26 A 100 LIBROS	3 a 5 veces por semana	Todos o casi todos los días	Todos o casi todos los días	Igual	Entre 30 y 60 minutos	Entre 1 y 3 horas	0	No	126409	305001019681	CORPORACION COLEGIO CUMBRES	MIXTO	NO OFICIAL	B	NaN	ACADÉMICO	305001019681	CORPORACION COLEGIO CUMBRES	S	URBANO	COMPLETA	5266	ENVIGADO	5	ANTIOQUIA	N	5001	MEDELLÍN	ANTIOQUIA	5	68	74	4	59	47	3	71	88	4	68	80	3	83.0	89	B+	339	77.0	PUBLICAR	NO
15428	TI	ESTADOS UNIDOS	M	0002-10-28T00:00:00.000	20201	SB11202010003688	ESTUDIANTE	ESTADOS UNIDOS	No	VALLE	76.0	CALI	76001.0	Estrato 3	9 o más	Cuatro	Secundaria (Bachillerato) completa	Secundaria (Bachillerato) incompleta	Tiene un trabajo de tipo auxiliar administrativo (por ejemplo, secretario o asistente)	No aplica	Si	No	Si	Si	Si	No	Si	No	NaN	Nunca o rara vez comemos eso	1 o 2 veces por semana	Todos o casi todos los días	Peor	30 minutos o menos	Más de 3 horas	0	No	17228	376001000314	COLEGIO PARROQIAL SANTIAGO APOSTOL	MIXTO	NO OFICIAL	B	N	TÉCNICO/ACADÉMICO	376001000314	COLEGIO PARROQIAL SANTIAGO APOSTOL	S	URBANO	MAÑANA	76001	CALI	76	VALLE	N	76001	CALI	VALLE	76	61	53	3	60	51	3	64	71	3	69	83	3	85.0	92	B+	326	69.0	PUBLICAR	NO
15429	TI	ESTADOS UNIDOS	M	0002-06-30T00:00:00.000	20201	SB11202010026730	ESTUDIANTE	ESTADOS UNIDOS	No	VALLE	76.0	CALI	76001.0	Estrato 5	3 a 4	Dos	Educación profesional completa	Postgrado	Es vendedor o trabaja en atención al público	Es dueño de un negocio grande, tiene un cargo de nivel directivo o gerencial	Si	Si	Si	Si	Si	Si	No	Si	26 A 100 LIBROS	3 a 5 veces por semana	Todos o casi todos los días	3 a 5 veces por semana	Mejor	Entre 30 y 60 minutos	Más de 3 horas	0	No	17293	376001003461	COLEGIO SAN ANTONIO MARIA CLARET	MIXTO	NO OFICIAL	B	N	ACADÉMICO	376001003461	COLEGIO SAN ANTONIO MARIA CLARET	S	URBANO	MAÑANA	76001	CALI	76	VALLE	N	76001	CALI	VALLE	76	56	36	3	66	67	3	56	48	3	54	43	2	74.0	63	B1	296	51.0	PUBLICAR	NO
15430	TI	ITALIA	F	0003-08-24T00:00:00.000	20201	SB11202010002849	ESTUDIANTE	ITALIA	No	VALLE	76.0	CALI	76001.0	Estrato 4	1 a 2	Dos	Secundaria (Bachillerato) completa	Secundaria (Bachillerato) completa	Pensionado	Trabaja por cuenta propia (por ejemplo plomero, electricista)	Si	Si	Si	Si	Si	Si	No	Si	26 A 100 LIBROS	1 o 2 veces por semana	Todos o casi todos los días	Todos o casi todos los días	Igual	Entre 30 y 60 minutos	Entre 30 y 60 minutos	0	No	17061	376001001388	COLEGIO LACORDAIRE	MASCULINO	NO OFICIAL	B	N	ACADÉMICO	376001001388	COLEGIO LACORDAIRE	S	URBANO	COMPLETA	76001	CALI	76	VALLE	N	76001	CALI	VALLE	76	64	61	3	50	25	2	64	72	3	60	60	3	73.0	62	B1	303	54.0	PUBLICAR	NO
15431	TI	PAÍSES BAJOS - HOLANDA	F	2002-05-21T00:00:00.000	20201	SB11202010004430	ESTUDIANTE	PAÍSES BAJOS - HOLANDA	No	VALLE	76.0	CALI	76001.0	Estrato 5	3 a 4	Cuatro	No Aplica	No Aplica	No aplica	No aplica	Si	Si	Si	Si	Si	Si	No	No	MÁS DE 100 LIBROS	Todos o casi todos los días	Todos o casi todos los días	Todos o casi todos los días	Igual	Entre 30 y 60 minutos	Entre 30 y 60 minutos	0	No	131250	376001030302	COLEGIO ANGLO AMERICANO	MIXTO	NO OFICIAL	B	NaN	ACADÉMICO	376001030302	COLEGIO ANGLO AMERICANO	S	URBANO	COMPLETA	76001	CALI	76	VALLE	N	76001	CALI	VALLE	76	70	82	4	72	85	4	72	91	4	70	86	3	100.0	100	B+	366	91.0	PUBLICAR	NO
15432	TI	VENEZUELA	F	2001-12-07T00:00:00.000	20201	SB11202010008503	ESTUDIANTE	VENEZUELA	No	BOGOTÁ	11.0	BOGOTÁ D.C.	11001.0	Estrato 5	NaN	NaN	Primaria incompleta	Educación profesional completa	NaN	NaN	Si	Si	NaN	NaN	NaN	NaN	NaN	NaN	26 A 100 LIBROS	Todos o casi todos los días	Todos o casi todos los días	1 o 2 veces por semana	NaN	Más de 2 horas	Más de 3 horas	NaN	NaN	53348	311769003920	COL BILING CLERMONT	MIXTO	NO OFICIAL	B	S	ACADÉMICO	311769003920	COL BILING CLERMONT - SEDE PRINCIPAL	S	URBANO	COMPLETA	11001	BOGOTÁ D.C.	11	BOGOTÁ	N	11001	BOGOTÁ D.C.	BOGOTÁ	11	71	85	4	66	68	3	65	75	3	64	69	3	79.0	77	B+	337	76.0	PUBLICAR	NO
15433	TI	VENEZUELA	F	2003-04-25T00:00:00.000	20201	SB11202010072919	ESTUDIANTE	VENEZUELA	No	NORTE SANTANDER	54.0	CÚCUTA	54001.0	Estrato 2	3 a 4	Uno	Secundaria (Bachillerato) incompleta	Educación profesional completa	Trabaja por cuenta propia (por ejemplo plomero, electricista)	Trabaja como profesional (por ejemplo médico, abogado, ingeniero)	No	No	No	Si	No	No	Si	No	0 A 10 LIBROS	1 o 2 veces por semana	Todos o casi todos los días	1 o 2 veces por semana	Peor	Entre 1 y 2 horas	No Navega Internet	Más de 30 horas	Si, en efectivo	175968	354001012211	I.E. PARA JÓVENES Y ADULTOS SIN FRONTERAS	MIXTO	NO OFICIAL	A	N	ACADÉMICO	354001012211	INSTITUCIÓN EDUCATIVA SINFRONTERAS - SEDE PRINCIPAL	S	URBANO	MAÑANA	54001	CÚCUTA	54	NORTE SANTANDER	N	54001	CÚCUTA	NORTE SANTANDER	54	59	44	3	48	21	2	52	38	2	47	30	2	40.0	11	A-	253	28.0	PUBLICAR	GENERACION E - GRATUIDAD
15434	TI	VENEZUELA	M	0001-12-27T00:00:00.000	20201	SB11202010002521	ESTUDIANTE	VENEZUELA	No	VALLE	76.0	CALI	76001.0	Estrato 5	3 a 4	Tres	Secundaria (Bachillerato) completa	Educación profesional completa	Trabaja por cuenta propia (por ejemplo plomero, electricista)	Trabaja como profesional (por ejemplo médico, abogado, ingeniero)	Si	Si	Si	Si	Si	Si	No	Si	26 A 100 LIBROS	1 o 2 veces por semana	Todos o casi todos los días	3 a 5 veces por semana	Igual	Entre 30 y 60 minutos	Más de 3 horas	0	No	17004	376001002376	COLEGIO HISPANOAMERICANO	MIXTO	NO OFICIAL	B	N	ACADÉMICO	376001002376	COLEGIO HISPANOAMERICANO	S	URBANO	COMPLETA	76001	CALI	76	VALLE	N	76001	CALI	VALLE	76	70	83	4	72	84	4	75	96	4	68	81	3	78.0	74	B1	359	88.0	PUBLICAR	NO

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Latin

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ASCII

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Pie chart

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Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter